• I Don’t Need Solution. I Need Emotional Support: Empathetic LLMs based on Emotional Validation
    Suhyune Son, Jungwoo Lim, Myunghoon Kang, Seongtae Hong, Yuna Hur, Evelyn H. Zi, Heuiseok Lim

  • Extraction of Texters’ Explicit Emotion Expressions in Crisis Conversations
    Greg Buda, Ignacio J. Tripodi, Kelly L. Zuromski, Margaret Meagher, Elizabeth A. Olson

  • WikiVideo: Article Generation from Multiple Videos
    Alexander Martin, Reno Kriz, William Gantt Walden, Kate Sanders, Hannah Recknor, Eugene Yang, Francis Ferraro, Benjamin Van Durme

  • Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators
    Feng Gu, Zongxia Li, Carlos R. Colon, Benjamin Evans, Ishani Mondal, Jordan Lee Boyd-Graber

  • Accelerating LLM Fine-Tuning via Embedding Knowledge Transfer
    Meishu PENG, Ziyue ZHANG, Yi Zhang, Pengyang Wang, Zixuan Yuan, Denghui Zhang

  • Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective
    Meifang Chen, Zhe Yang, HUANG Nianchen, Yizhan Huang, Yichen LI, Zihan Li, Michael R. Lyu

  • MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data
    Yaobin Ling, Xiaoqian Jiang, Yejin Kim

  • EMCompress: Video-LLMs with Endomorphic Multimodal Compression
    Zheyu Fan, Jiateng Liu, Yuji Zhang, Zihan Wang, Yi R. Fung, Manling Li, Heng Ji

  • Learning from Contrastive Prompts: An Automated Prompt Optimization Framework
    Mingqi Li, Karan Aggarwal, Yong Xie, Aitzaz Ahmad, Stephen Lau

  • Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation
    Qian Ma, Sarah Rajtmajer

  • ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use
    Mengjie Deng, Guanting Dong, Zhicheng Dou

  • VChain: Chain-of-Visual-Thought for Reasoning in Video Generation
    Ziqi Huang, Ning Yu, Gordon Chen, Haonan Qiu, Paul Debevec, Ziwei Liu

  • Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation
    Nuo Chen, Yicheng Tong, Yuzhe Yang, Yufei He, Xueyi Zhang, Zou Qingyun, Qian Wang, Bingsheng He

  • Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
    Sai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, Ruta Binkyte, Mario Fritz

  • A Study of LLMs’ Preferences for Libraries and Programming Languages
    Lukas Twist, Jie Zhang, Mark Harman, Don Syme, Joost Noppen, Helen Yannakoudakis, Detlef Nauck

  • Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich Images
    Shijie Zhou, Jihyung Kil, Ming Li, Jiuxiang Gu, Curtis Wigington, Rajiv Jain, Changyou Chen, Ruiyi Zhang

  • PUMA: Projected Universal Multilingual ASR for Low-Resource Settings. Application to Diverse African Languages
    Ilyes Oukid, Bilal Faye, Hanane AZZAG, Mustapha Lebbah, Said Yacine Boulahia

  • MGPO: Thinking with Images via Multi-Turn Grounding-Based Reinforcement Learning
    Xinyu Huang, Yuhao Dong, Weiwei Tian, Bo Li, Rui Feng, Ziwei Liu

  • How Grounded is Wikipedia? A Study on Structured Evidential Support and Retrieval
    William Walden, Kathryn Ricci, Miriam Wanner, Zhengping Jiang, Chandler May, Rongkun Zhou, Benjamin Van Durme

  • Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?
    Yuan Xin, Dingfan Chen, Linyi Yang, Michael Backes, Xiao Zhang

  • BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents
    Litu Ou, Kuan Li, Huifeng Yin, Liwen Zhang, Zhongwang Zhang, Xixi Wu, Rui Ye, Zile Qiao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

  • HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks
    Yiming Zeng, Jinghan Cao, Zexin Li, Wanhao Yu, Zhankai Ye, Dawei Xiang, Ting Hua, Xin Liu, Shangqian Gao, Tingting Yu

  • Strategy-Induct: Task-Level Strategy Induction for Instruction Generation
    Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen

  • Idiom Understanding as a Tool to Measure the Dialect Gap
    David Beauchemin, Yan Tremblay, Mohamed Amine Youssef, Richard Khoury

  • Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression
    Jingyu Peng, Maolin Wang, Nan Wang, Jiatong Li, Yuchen Li, Yuyang Ye, Wanyu Wang, Pengyue Jia, Kai Zhang, Xiangyu Zhao

  • Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses
    Sungnyun Kim, Kangwook Jang, Sungwoo Cho, Joon Son Chung, Hoi-Rin Kim, Se-Young Yun

  • Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models
    Teng Wang, Jiang Zhangyi, Zhenqi He, Hailei Gong, Shenyang Tong, Wenhan Yang, Zeyu Li, Yanan Zheng, Zifan He, Zewen Ye, Shengjie Ma, Jianping Zhang

  • SciVQR: A Multidisciplinary Multimodal Benchmark for Advanced Scientific Reasoning Evaluation
    Longteng Guo, Xuanxu Lin, Dongze Hao, Tongtian Yue, Pengkang Huo, Jiatong Ma, Yuchen Liu, Jing Liu

  • UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu
    Farah Adeeba, Brian Dillon, Hassan Sajjad, Rajesh Bhatt

  • ANCHOR: LLM-driven Subject Conditioning for Text-to-Image Synthesis
    Aashish Anantha Ramakrishnan, Sharon Huang, Dongwon Lee

  • Personalized Benchmarking: Evaluating LLMs by Individual Preferences
    Cristina Garbacea, Heran Wang, Chenhao Tan

  • Op-Fed: Opinion, Stance, and Monetary Policy Annotations on FOMC Transcripts Using Active Learning
    Alisa Kanganis, Katherine A. Keith

  • C³D: Enhancing LLM Reasoning via Confidence-Guided Contrastive Decoding
    Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, Jinqiao Wang

  • Do LLMs Really Know What They Don’t Know? Internal States Mainly Reflect Knowledge Recall Rather Than Truthfulness
    Chi Seng Cheang, Hou Pong Chan, Wenxuan Zhang, Yang Deng

  • Enhancing Hallucination Detection via Future Context
    Joosung Lee, Cheonbok Park, Hwiyeol Jo, Jeonghoon Kim, Joonsuk Park, Kang Min Yoo

  • MTO: A Multi-turn Conversational Text-to-OverpassQL Dataset for Enhanced OpenStreetMap Query Generation
    Haodi Zhang, Xinrui Zhu, Mingze Kong, Zhidan Liu, Tao Fan, Kaishun Wu, Yuanfeng SONG

  • A Dual-Phase Self-Evolution Framework for Large Language Models
    Haoran Sun, Zekun Zhang, Shaoning Zeng

  • Preference-Aware Memory Update for Long-Term LLM Agents
    Haoran Sun, Zekun Zhang, Shaoning Zeng

  • Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid Architectures
    Shenran Wang, Timothy Tin-Long Tse, Jian Zhu

  • C²DLM: Causal Concept-Guided Diffusion Large Language Models
    Kairong Han, Nuanqiao Shan, Ziyu Zhao, Zijing Hu, Xinpeng Dong, Ye Jun Jian, Lujia Pan, Fei Wu, Kun Kuang

  • CMTD: Cognitive Modeling with Traits and Distortions for Multimodal Emotion Recognition in Conversations
    Minh-Tien Nguyen, Huu-Loi Le, Manh-Cuong Phan, Hajime Hotta

  • Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages
    Israel Abebe Azime, Tadesse Destaw Belay, Dietrich Klakow, Philipp Slusallek, Anshuman Chhabra

  • Stop Guessing When to Stop Testing: Efficient Model Evaluation with Just Enough Data
    Ofir Arviv, Kristjan Greenewald, Yotam Perlitz, Hadar Mulian, Michal Shmueli-Scheuer, Leshem Choshen

  • AnyGraph: Graph Foundation Model in the Wild
    Lianghao Xia, Chao Huang

  • DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models
    Biao Wu, Yiwu Zhong, Meng Fang, Ling Chen

  • MergeIT: From Selection to Merging for Efficient Instruction Tuning
    Hongyi Cai, Yuqian Fu, Hongming Fu, Bo Zhao

  • The Illusion of Insight in Reasoning Models
    Liv d’Aliberti, Manoel Ribeiro

  • Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
    Rei Taniguchi, Yuyang Dong, Makoto Onizuka, Chuan Xiao

  • Aligning What LLMs Do and Say: Towards Self-Consistent Explanations
    Sahar Admoni, Ofra Amir, Assaf Hallak, Yftah Ziser

  • TARo: Token-level Adaptive Routing for LLM Test-time Alignment
    Arushi Rai, Qiang Zhang, Hanqing Zeng, Yunkai Zhang, Dipesh Tamboli, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang

  • ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking
    Xianming Li, Aamir Shakir, Rui Huang, Julius Lipp, Benjamin Clavié, Jing Li

  • ChemAmp: Amplified Chemistry Tools via Composable Agents
    Zhucong Li, Powei Chang, Jin Xiao, Zhijian Zhou, Qianyu He, Jiaqing Liang, Fenglei Cao, Xu Yinghui, Yuan Qi

  • CodeContests-O: Powering LLMs via Feedback-Driven Iterative Test Case Generation
    Jianfeng Cai, Jinhua Zhu, Ruopei Sun, Kangwen Zhao, Dongyun Xue, Mingxiao Feng, Wengang Zhou, Houqiang Li

  • Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
    Juyeon Kim, Geon Lee, Dongwon Choi, Taeuk Kim, Kijung Shin

  • Multi-Scale Spectral Selection and Entropy-Guided Uncertainty Fusion for Multimodal Rumor Detection
    Zongliang Han, Wenyu Guo, Guoqing Jin, Yang Liu, Fan Li, Dong Yu, Yan Song, Fengzhen Zhang

  • Covariance Matrix-Driven Image Channel Allocation for Multimodal Fake News Detection
    Zongliang Han, Wenyu Guo, Guoqing Jin, Yang Liu, Yan Song, Dong Yu, Wang Min

  • Mechanistic Insights into Deferred Semantic Drift in LLMs
    Jingjie Zeng, Huayang Li, Liang Yang, Shaowu Zhang, Yuanyuan Sun, Hongfei Lin

  • JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation
    Fan Xu, Huixuan Zhang, Zhenliang Zhang, Jiahao Wang, Xiaojun Wan

  • Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech Recognition
    Yi-Cheng Lin, Yu-Hsuan Li Liang, Hsuan Su, Tzu-Quan Lin, Shang-Tse Chen, Yun-Nung Chen, Hung-yi Lee

  • SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval
    Xin Xie, Dongyun Xue, Wuguannan YAO, Mingxiao Feng, Wengang Zhou, Xiang Qi, Houqiang Li, Peng Zhang

  • Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction
    Yulin Chen, Haoran Li, Yuan Sui, Yue Liu, Yufei He, XiaolingBai, Chi Fei, Li Yabo, Haozhe Ma, Yangqiu Song, Bryan Hooi

  • Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
    Junki Mori, Kazuya Kakizaki, Taiki Miyagawa, Jun Sakuma

  • When Slower Isn’t Truer: Inverse Scaling Law of Truthfulness in Multimodal Reasoning
    Sitong Fang, Wenjing Cao, Jiahao Li, Xuyao Wang, Chi-Min Chan, Sirui Han, Juntao Dai, Yike Guo, Yaodong Yang, Jiaming Ji

  • StressTest: Can YOUR Speech LM Handle the Stress?
    Iddo Yosha, Gallil Maimon, Yossi Adi

  • EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI
    Longfei Zuo, Barbara Plank, Siyao Peng

  • AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG
    Qijie You, Wenkai Yu, Hao Liang, Zhen Hao Wong, Wentao Zhang

  • Attention to Non-Adopters
    Kaitlyn Zhou, Kristina Gligorić, Myra Cheng, Michelle S. Lam, Vyoma Raman, Boluwatife Aminu, Caeley Woo, Michael Brockman, Hannah Cha, Dan Jurafsky

  • Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and Domains
    Md. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, Md. Adnanul Islam, Jannatul Ferdous Deepti, Tasnim Mohiuddin, Md Mofijul Islam, Swakkhar Shatabda

  • Music Audio-Visual Question Answering Requires Specialized Multimodal Designs
    Wenhao You, Xingjian Diao, Wenjun Huang, Chunhui Zhang, Keyi Kong, Weiyi Wu, Chiyu Ma, Zhongyu Ouyang, Tingxuan Wu, Ming Cheng, Soroush Vosoughi, Jiang Gui

  • TemporalVLM: Video LLMs for Temporal Reasoning in Long Videos
    Fawad Fateh, Umer Ahmed, Hamza Khan, Zeeshan Zia, Quoc-Huy Tran

  • Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
    Shuliang Liu, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Minghe Yu, Yu Gu, Chong Chen, Huiyuan Xie, Ge Yu

  • Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
    Zhuoyang Wu, Xinze Li, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Minghe Yu, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun

  • New Compendium of a Myriad of Plants: A New Dataset Describing Ancient Chinese Plants
    Xiaobin Shen, Zhongqing Wang, Shichen Li, Chu-Ren Huang, Guodong Zhou

  • Generative Interfaces for Language Models
    Jiaqi Chen, Yanzhe Zhang, Yutong Zhang, Yijia Shao, Diyi Yang

  • EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing
    Sicheng Lyu, Yu Gu, Xinyu Wang, Jerry Huang, Sitao Luan, Yufei Cui, Xiao-Wen Chang, Peng Lu

  • Efficient Reasoning for LLMs through Speculative Chain-of-Thought
    Jikai Wang, Juntao Li, Jianye Hou, Yan Bowen, Lijun Wu, Min Zhang

  • From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
    Haoran Tan, Zeyu Zhang, Chen Ma, Tianze Liu, Quanyu Dai, Xu Chen

  • Data-Centric Perspectives on Agentic Retrieval-Augmented Generation: A Survey
    Jingwen Deng, Jihao Huang, Zhen Hao Wong, Hao Liang, Quanqing Xu, Bin CUI, Wentao Zhang

  • WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling
    Jiacheng Li, Jianchao Tan, Zhidong Yang, Pingwei Sun, Feiye Huo, Jiayu Qin, Xiangyu Zhang, Maoxin He, Guangming Tan, Weile Jia, Xunliang Cai, Tong Zhao

  • Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus
    Svetlana Churina, Akshat Gupta, Nur Insyirah Binte Imam Mujtahid, Kokil Jaidka

  • When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
    Soyeong Jeong, Taehee Jung, Sung Ju Hwang, Joo-Kyung Kim, Dongyeop Kang

  • Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset
    Baode Wang, Biao Wu, Weizhen Li, Meng Fang, Zuming Huang, Jun Huang, Yanjie Liang, Haozhe Wang, Ling Chen, Wei Chu, Yuan Qi

  • Lunar-Bench: Towards Evaluating Task-Oriented Reasoning of LLMs in Lunar Exploration Scenarios
    Xin-Yu Xiao, Ye Tian, Erwei Yin, Zhixian He, Shiqi Wang, Yalei Liu, Qianchen Xia

  • BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards
    Yupeng Chang, Yuan Wu, Yi Chang

  • Rethinking Research on Stereotypes: An Analysis through Social Psychological and Computational Perspectives
    Kaustubh Shivshankar Shejole, Pushpak Bhattacharyya

  • Do LLMs Catch Their Own Mistakes? A Comprehensive Benchmark for Reflective Tool Use LLMs
    Zheyuan Liu, Liqiang Xiao, Yang Li, Hyokun Yun, Lihong Li, Chao Zhang, Meng Jiang

  • Understanding Generalization in Role-Playing Models via Information Theory
    Yongqi Li, Hao Lang, Fei Huang, Tieyun Qian, Yongbin Li

  • A Multilingual Dataset and Empirical Validation for the Mutual Reinforcement Effect in Information Extraction
    Chengguang Gan, Sunbowen Lee, Qingyu Yin, Yunhao Liang, Xinyang He, Hanjun Wei, Younghun Lim, Shijian Wang, Hexiang huang, QingHao Zhang, Shiwen Ni, Tatsunori Mori

  • TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering
    Yingxu Wang, Jiaxin Huang, Mengzhu Wang, Nan Yin

  • Can LLMs See Without Pixels? Benchmarking Spatial Intelligence from Textual Descriptions
    Zhongbin Guo, Zhen Yang, Yushan Li, Xinyue Zhang, Wenyu Gao, Jiacheng Wang, Chengzhi Li, Xiangrui Liu, Ping Jian

  • Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage
    Junhao Hu, Fangze Li, Mingtao Xu, Feifan Meng, Shiju Zhao, Tiancheng Hu, Ting Peng, Anmin Liu, Wenrui Huang, Chenxu Liu, Ziyue Hua, Tao Xie

  • Static Models, Dynamic World: A Unified Perspective on Temporal Perception in Large Language Models
    Chenhao Li, Dandan Song, Changzhi Zhou, Jun Yang, Yuhang Tian, Huipeng Ma, Guangyuan Feng, Luan Zhang, Xudong Li, Ke Duan

  • Decomposed Trust: Privacy, Adversarial Robustness, Ethics, and Fairness in Low-Rank LLMs
    Daniel Agyei Asante, Md Mokarram Chowdhury, Yang Li

  • Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models
    Canhui Wu, Qiong Cao, Chang Li, Zhenfang Wang, Chao Xue, Yuwei Fan, Wei Xi, Xiaodong He

  • Exploring Reasoning Reward Model for Agents
    Kaixuan Fan, Kaituo Feng, Manyuan Zhang, Tianshuo Peng, Zhixun Li, Yilei Jiang, Shuang Chen, Xiangyu Yue

  • MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
    Zheyuan Liu, Dongwhi Kim, Yixin Wan, Xiangchi Yuan, Zhaoxuan Tan, Fengran Mo, Meng Jiang

  • REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors
    Mingxu Zhang, Dazhong Shen, Qi Zhang, Ying Sun

  • Towards Self-Improving Error Diagnosis in Multi-Agent Systems
    Jiazheng Li, Emine Yilmaz, Bei Chen, Thu Le

  • MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
    Junjie Ye, Caishuang Huang, Zhuohan Chen, Wenjie Fu, Chenyuan Yang, Leyi Yang, Yilong Wu, Peng Wang, Meng Zhou, Xiaolong Yang, Tao Gui, Qi Zhang, Zhongchao Shi, Jianping Fan, Xuanjing Huang

  • Text2Mem: A Unified Memory Operation Language for Memory Operating System
    Leo Wang, Lihai Yang, Boyu Chen, Kerun Xu, Gongyi Zou, Bo Tang, Feiyu Xiong, Siheng Chen, Zhiyu li

  • AMO-Bench: Large Language Models Still Struggle in High School Math Competitions
    Junlin Liu, Shengnan An, Shuang Zhou, Dan Ma, Yehao Lin, Xinxuan Lv, Xuanlin Wang, Xiaoyu Li, Ziwen Wang, Xuezhi Cao, Xunliang Cai

  • Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design
    Yuchen Li, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin

  • When Facts Change: Temporal Knowledge Conflict Resolution in LLMs
    Jonas Wallat, Wolfgang Nejdl, Sandipan Sikdar

  • SCRIPT: A Subcharacter Compositional Representation Injection Module for Korean Pre-Trained Language Models
    SungHo Kim, Juhyeong Park, Eda Atalay, SangKeun Lee

  • PibE-MPP: A Play-it-by-Ear Masking Performance Plug-in for LLMs
    Mengwei Wang, Simin Niu, Xun Liang, Yuefeng Ma, Sensen Zhang, Jiawei Yang, Shichao Song, Hanyu Wang, Huayi Lai

  • RoleCDE: Benchmarking and Mitigating Role–Alignment Trade-offs in Role-Playing Agents
    Huayi Lai, Shichao Song, Simin Niu, Hanyu Wang, Jiawei Yang, Zhouxing Wang, Zhiqiang Yin, Xun Liang

  • PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models
    Han Bao, Penghao Zhang, Yue Huang, Zhengqing Yuan, Yanchi Ru, Su Rui, Yujun Zhou, Xiangqi Wang, Kehan Guo, Nitesh V Chawla, Yanfang Ye, Xiangliang Zhang

  • BOOKAGENT: Orchestrating Safety-Aware Visual Narratives via Multi-Agent Cognitive Calibration
    Bo Gao, Chang Liu, Yuyang Miao, SiYuan Ma, Ser-Nam Lim

  • Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
    Junjie Ye, Changhao Jiang, Zhengyin Du, Yufei Xu, Xuesong Yao, Zhiheng Xi, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang, Jiecao Chen

  • Do Domain-specific Experts exist in MoE-based LLMs?
    Giang Do, Hung Le, Truyen Tran

  • AutoUE: Automated Generation of 3D Games in Unreal Engine via Multi-Agent Systems
    Lei Yin, Wentao Cheng, Zhida Qin, Tianyu Huang, Yidong Li, Gangyi Ding

  • Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios
    Changhao Pan, Rui Yang, Han Wang, Zhuan Zhou, Xuming He, Wenxiang Guo, Ziyue Jiang, Ruiqi Li, Yu Zhang, Chenyuhao Wen, Ke Lei, Xiang Yin, Jingyu Lu, Zhiyuan Zhu, Zhou Zhao

  • CAST: Achieving Stable LLM-based Text Analysis for Data Analytics
    Jinxiang Xie, Zihao Li, Wei He, Rui Ding, Shi Han, Dongmei Zhang

  • WavAlign: Enhancing Intelligence and Expressiveness in Spoken Dialogue Models via Adaptive Hybrid Post-Training
    Yifu Chen, Shengpeng Ji, Qian Chen, Tianle Liang, Yangzhuo Li, Ziqing Wang, Wen Wang, Jingyu Lu, Haoxiao Wang, Xueyi Pu, Fan Zhuo, Zhou Zhao

  • OmniCompliance-100K: A Multi-Domain, Rule-Grounded, Real-World Safety Compliance Dataset
    Wenbin Hu, Huihao JING, Haochen Shi, Changxuan Fan, Haoran Li, Yangqiu Song

  • AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior Monitor
    Shu Yang, Jingyu Hu, Tong Li, Hanqi Yan, Wenxuan Wang, Di Wang

  • Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model
    Ziyan Wang, Yingpeng Du, Tianjun Wei, Haoyan Chua, Jieyi Bi, Jie Zhang, Zhu Sun

  • MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning
    Xuchen Li, Jing Chen, Xuzhao Li, Hao Liang, Xiaohuan Zhou, Taifeng Wang, Wentao Zhang

  • The Model Agreed, But Didn’t Learn: Diagnosing Surface Compliance in Large Language Models
    Xiaojie Gu, Ziying Huang, Weicong Hong, Jian Xie, Renze Lou, Kai Zhang

  • AWARE: Agentic Knowledge Warehousing for Contextual Intelligence
    Hongjin Qian, Siqi Bao, Zhao Cao, Zheng Liu

  • Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
    Hwanjun Song

  • Purging the Gray Zone: Latent-Geometric Denoising for Precise Knowledge Boundary Awareness
    Hao An, Yibin Lou, Jiayi Guo, Yang Xu

  • Temporal Token Matters: Investigating and Interpreting the Consistency of Temporal Ordering in Large Language Models
    Zhen Yang, Xinyue Zhang, Ping Jian, Chengzhi Li, Zhongbin Guo, Jiaping Feng, Wenpeng Lu

  • Towards LLM Agents for Earth Observation
    Chia Hsiang Kao, Wenting Zhao, Cheryl Lam, Aarush Umap, Shreelekha Revankar, Samuel Speas, Snehal Bhagat, Rajeev Datta, Cheng Perng Phoo, Utkarsh Mall, Carl Vondrick, Kavita Bala, Bharath Hariharan

  • Jamendo-MT-QA: A Benchmark for Multi-Track Comparative Music Question Answering
    Junyoung Koh, Jaeyun Lee, Sooyong Kim, Gyehyeong Choi, Jungin Koh, Jordan Phillips, Yeonjin Lee, Min Song

  • Chinese Live‑Streaming E‑Commerce Morph Resolution: Datasets and Methods
    Jipeng Qiang, Jiahao Zhu, Yi Zhu, Chaowei Zhang

  • MemoBrain: Executive Memory as an Agentic Brain for Reasoning
    Hongjin Qian, Zhao Cao, Zheng Liu

  • Exploring the Capability Boundaries of LLMs in Mastering of Chinese Chouxiang Language
    Dianqing Lin, Tian Lan, Jiali Zhu, Jiang Li, Wei Chen, Xu Liu, Aruukhan, Xiangdong Su, Hongxu Hou, Guanglai Gao

  • RECOR: Reasoning-focused Multi-turn Conversational Retrieval Benchmark
    Mohammed Ali, Abdelrahman Abdallah, Amit Agarwal, Hitesh Laxmichand Patel, Adam Jatowt

  • Data Selection for Multi-turn Dialogue Instruction Tuning
    Bo Li, Gexiang Fang, Shikun Zhang, Wei Ye

  • AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple Agent
    Sun Hui, Ding Yanfeng, Huidong Ma, Chang Xu, Keyan Jin, Lizheng Zu, Cheng Zhong, xiaoguang Liu, Gang Wang, Wentong Cai

  • Think Outside the Policy: In-Context Steered Policy Optimization
    Hsiu-Yuan Huang, Chenming Tang, Weijie Liu, Clive Bai, Saiyong Yang, Yunfang Wu

  • Where CoT Reasoning Commits: Entropy Traces Identify Interpretable Attention Heads
    Tianhe Zhang, Yonghong Deng, Ping Jian, Zhen Yang, Boyang Wang, Xinyue Zhang

  • From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks
    Qingyu Ren, Tianjun Pan, Xingzhou Chen, Xuhong Wang

  • DentalGPT: Incentivizing Multimodal Reasoning in Dentistry
    Zhenyang Cai, Jiaming Zhang, Junjie Zhao, Ziyi Zeng, Yanchao Li, Liang Jingyi, Junying Chen, Yunjin Yang, Jiajun You, Shuzhi Deng, Xieruiqiii, Yuanting Chen, Xiangyi Feng, Jianquan Li, Liangyi Chen, Junwen Wang, Shan Jiang, Benyou Wang

  • SARA: Unlocking Multilingual Knowledge in Mixture-of-Experts via Semantically Anchored Routing Alignment
    Tianyu Dong, Yangyang Liu, Jiang Zhou, Xinwei Wu, Xiaohu Zhao, Hao Wang, Heng Liu, Linlong Xu, Longyue Wang, Weihua Luo, shaolin Zhu, Deyi Xiong

  • Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach
    Haolin Li, Shuyang Jiang, Ruipeng Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang

  • AlphaQT-Bench: Diagnosing the Gap between Financial Code Generation and Quantitative Reasoning in LLMs
    Sichun Luo, Yi Huang, Shichang Meng, Fengyuan Liu, Mukai Li, Qinghua Yao, Zefa Hu, Junlan Feng, Qi Liu

  • Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas
    Lukas Stähelin, Veronika Solopova, Max Upravitelev, David Kaplan, Premtim Sahitaj, Ariana Sahitaj, Charlott Jakob, Sebastian Möller, Vera Schmitt

  • ComfyFlow: Benchmarking LLMs for AIGC Workflow Generation
    Zhenran Xu, Yiyu Wang, Yunxin Li, Muyang Ye, Yangxue, Kai Chen, Longyue Wang, Weihua Luo, Baotian Hu, Min Zhang

  • SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast Asia
    Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, Trevor Cohn, Peerat Limkonchotiwat

  • Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection Settings
    Preet Baxi, Jiannan Xu, Jane Yi Jiang, Stefanus Jasin

  • FuseSearch: Learning Adaptive Parallel Execution for Efficient Code Localization
    Ke Xu, Siyang Xiao, Ming Liang, Yichen Yu, Zhixiang Wang, Jingxuan Xu, Dajun Chen, Wei Jiang, Yong Li

  • Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty
    Yao Xiao, Jung-jae Kim, Roy Ka-Wei Lee, Lidong Bing

  • Multi-Agent Comedy Club: Investigating Community Discussion Effects on LLM Humor Generation
    Shiwei Hong, Lingyao Li, Ethan Z. Rong, Chenxinran Shen, Zhicong Lu

  • ComfyUI-R1: Exploring Reasoning Models for Workflow Generation
    Zhenran Xu, Yiyu Wang, Yangxue, Longyue Wang, Weihua Luo, Kaifu Zhang, Baotian Hu, Min Zhang

  • Hard to Be Heard: Phoneme-Level ASR Analysis of Phonologically Complex, Low-Resource Endangered Languages
    V.S.D.S.Mahesh Akavarapu, Michael Daniel, Gerhard Jäger

  • Beyond Surface-Level Pattern Trap: LLM Agents for Faster and Smarter Cross-Architecture Code Migration
    Weijia Li, Ke Gao, Pengfei Chen, Jiajie Li, Xinyu Wang, Yiran Le, Yize Wu, Ling Li

  • PairCoder: Pair Programming-Inspired Two-Agent Collaboration for Code Generation
    Junhao Chen, Xiang Li, Yibin Xu, Yuehan Cui, Fangsheng Weng, Hao Zhao, Fei Ma, Qi Tian

  • OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving
    Xinyu Zhang, Boxuan Zhang, Yuchen Wan, Lingling Zhang, YiXing Yao, Bifan Wei, Yaqiang Wu, Jun Liu

  • DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models
    Yakun Zhu, Zhongzhen Huang, Linjie Mu, Yutong Huang, Wei Nie, Jiaji Liu, Shaoting Zhang, Pengfei Liu, Xiaofan Zhang

  • AMA: Adaptive Memory via Multi-Agent Collaboration
    Weiquan Huang, Zixuan Wang, Hehai Lin, Sudong Wang, Bo Xu, Qian Li, Beier Zhu, Linyi Yang, Chengwei Qin

  • WESR: A Benchmark and Strong Baseline for Word-level Event-Speech Recognition
    Chenchen Yang, Kexin Huang, Liwei Fan, Qian Tu, Botian Jiang, Dong Zhang, Linqi Yin, Shimin Li, Zhaoye Fei, Qinyuan Cheng, Xipeng Qiu

  • Applicability Condition Extraction for Therapeutic Drug-Disease Relations
    Guanting Luo, Noriki Nishida, Yuji Matsumoto, Yuki Arase

  • ACR: Adaptive Context Refactoring via Context Refactoring Operators for Multi-Turn Dialogue
    Jiawei Shen, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Qingyu Niu, Guoqing Ma, Jingjiang Liu, Yidan Liang, Yilin Wang, Shimin Di, Jiajie Xu

  • ALGOGEN: Tool-Generated Verifiable Traces for Reliable Algorithm Visualization
    Liaokunpeng, Yuexiao Ma, Yisheng Lin, Hualin Zeng, Xiawu Zheng, Rongrong Ji

  • PivotAttack: Rethinking the Search Trajectory in Hard-Label Text Attacks via Pivot Words
    Yuzhi Liang, Shiliang Xiao, Jingsong Wei, Qiliang Lin, Xia Li

  • MiMIC: Mitigating Visual Modality Collapse in Universal Multimodal Retrieval While Avoiding Semantic Misalignment
    Juan Li, Chuanghao Ding, Xujie Zhang, Cam-Tu Nguyen

  • Towards Proactive Personalization through Profile Customization for Individual Users in Dialogues
    Xiaotian Zhang, Yuan Wang, Ruizhe Chen, Zeya Wang, Runchen Hou, Zuozhu Liu

  • Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search
    Chuzhan Hao, Wenfeng Feng, Guochao Jiang, Guofeng Quan, Guohua Liu, Yuewei Zhang

  • Can LLMs Hear the Dogwhistle?
    Yifan Liu, Yi Lin, Xinwei Guo, Ziwei Wang, Jiaxin Zhang, Guanhua Chen, Haiyan Wu, Xiangyu Zhao, Xin Yao, Xuetao Wei

  • HiPrune: Hierarchical Attention for Efficient Token Pruning in Vision-Language Models
    Jizhihui Liu, Guangdao Zhu, Feiyi Du, Niu Lian, Jun Li, Bin Chen, Weili Guan, Yaowei Wang

  • MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling
    Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Ee-Peng Lim

  • The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training
    Rui Zhang, Hongwei Li, Yun Shen, Xinyue Shen, Wenbo Jiang, Guowen Xu, Yang Liu, Michael Backes, Yang Zhang

  • ADaPT: Token-Level Decoupling for Efficient Large Reasoning Models
    Tingyun Li, Zishang Jiang, Jinyi Han, Xinyi Wang, Sihang Jiang, Han Xia, Zhaoqian Dai, Ma Shuguang, Fei Yu, Jiaqing Liang, Yanghua Xiao

  • Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation
    Kyudan Jung, Hojun Cho, Jooyeol Yun, Soyoung Yang, Jaehyeok Jang, Jaegul Choo

  • Verifiable Parameterization of Bayesian Networks from Scientific Literature: Unlocking Unstructured Empirical Evidence
    Jonas Gottal, Florian Matthes

  • PRIME: Ultra-Low-Rank Principal–Residual Model Merging
    Seungho Lee, Kyungsu Lee, Zuchi Bazarvaani, Jeongmin Ahn, Insuk Seo, Donghyeon Jeon, Inho Kang, Seung-Hoon Na

  • Don’t Tell the Answer, Truly Guide the Reasoning During RL Rollouts
    Xinyi Wang, Jinyi Han, Zishang Jiang, Tingyun Li, Jiaqing Liang, Sihang Jiang, Zhaoqian Dai, Ma Shuguang, Fei Yu, Yanghua Xiao

  • Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM Inference
    Jianuo Huang, Yaojie Zhang, Yicun Yang, Benhao Huang, Linfeng Zhang

  • SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
    Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le

  • Crossroads of Optimization under Uncertainty: How to Choose the Optimal Model
    Chengxi She, Zhiqiang Chen, Xingyu Lu, Caihua Chen, Piaoyang Zhao, Xuedong Wang

  • Know Thy Enemy: Securing LLMs Against Prompt Injection via Diverse Data Synthesis and Instruction-Level Chain-of-Thought Learning
    Zhiyuan Chang, Mingyang Li, Yuekai Huang, Ziyou Jiang, Xiaojun Jia, Qian Xiong, Junjie Wang, Zhaoyang Li, Qing Wang

  • ModularMoE: Fast LLM Customization with Parameter‑Sharing Mixture‑of‑Experts for Low-Resource Settings
    Jiaxing Liu, Qi Qi, Haifeng Sun, Dunjun Li, Zirui Zhuang, Bo He, Xiang Yang, Cong Liu, Jianxin Liao, Jingyu Wang

  • UCGRec: User-Centric Graph Learning for LLM-based Sequential Recommendation
    HanBeul Kim, CheolWon Na, Suyoung Bae, YunSeok Choi, Jee-Hyong Lee

  • HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks
    Zhe Chen, Yusheng Liao, Zhiyuan Zhu, Haolin Li, Hongcheng Liu, Yanfeng Wang, Yu Wang

  • Subgraph-Guided Executable Logical Form Generation for Knowledge Base Question Answering
    Yuhang Tian, Dandan Song, Zhijing Wu, Changzhi Zhou, Jun Yang, Huipeng Ma, Chenhao Li, Luan Zhang, Yading Li, Xudong Li, Shenxi Liu, Jing Jiang

  • Towards Reliable Paper Contributions Annotation in the ACL Rolling Review
    Julien Aubert-Béduchaud, Florian Boudin, Akiko Aizawa, Béatrice Daille, Richard Dufour

  • Memory Dial: A Training Framework for Controllable Memorization in Language Models
    Xiangbo Zhang, Ali Emami

  • SEAD: Self-Evolving Agent for Multi-Turn Service Dialogue
    Yuqin Dai, Ning Gao, Wei Zhang, Jie Wang, Zichen Luo, Ruiyuan Wu, Jinpeng Wang, Chaozheng Wang

  • DataSciBench: An LLM Agent Benchmark for Data Science
    Dan Zhang, Sining Zhoubian, Min Cai, Fengzu Li, Lekang Yang, Wei Wang, Tianjiao Dong, Ziniu Hu, Jie Tang, Yisong Yue

  • PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
    Wenfeng Feng, Penghong Zhao, Guochao Jiang, Chuzhan Hao, Guohua Liu, Yuewei Zhang

  • Momoka-RAG: MCTS-Organized Mapping of Knowledge Associations for Long-Document Retrieval Augmented Generation
    Wenyu Tao, Xiaofen Xing, Zeliang Li, Xiangmin Xu

  • A3: Android Agent Arena for Mobile GUI Agents with Essential-State Procedural Evaluation
    Yuxiang Chai, Shunye Tang, Han Xiao, Weifeng Lin, Hanhao Li, Jiayu Zhang, Liang Liu, Pengxiang Zhao, Guangyi Liu, Guozhi Wang, Shuai Ren, Rongduo Han, Haining Zhang, Siyuan Huang, Hongsheng Li

  • Intrinsic Mutual Information as a Modulator for Preference Optimization
    Peng Liao, Peijia Zheng, Lingbo Li, Shangsong Liang, Lin Chen

  • EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial Exploration
    Jianfei Wu, Zhichun Wang, Zhensheng Wang, Zhiyu He

  • FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis
    Shouqing Yang, Qi Zhang, Yuhang Yang, Ruikang Xu, Yuwei Hou, Zhulin Jia, Lirong Gao, Haobo Wang, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Gang Chen

  • Apeiron: A Scalable LLM-agentic Framework for Autonomous Full-lifecycle Demand-optimized Application Synthesis
    Junyan Cheng, Ankit Srivastava, Jessie Zeng, Milenko Drinic, Jack W. Stokes

  • Eval-RAR: Evaluation-Driven Retrieval-Augmented Reasoning via Reinforcement Learning
    Heng Yu, Rui Li, Qi Liu, Wenjun Feng, Junfeng Kang, Yi Zhan

  • LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents
    Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia, Fabio Valerio Massoli, Arash Behboodi, Tribhuvanesh Orekondy

  • Travel on the ICD Tree: Benchmarking Agentic Reasoning for ICD Coding from Chinese Electronic Medical Records
    Xinjie Xu, Yongqi Fan, Shuangshuang Chen, Qi Ye, Weibin Guo, Xinxuan Hu

  • RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language Models
    Xiaobin Tian, Shuai Yuan, Muyun Ding, Haonan Chen, Xiaoxi Jiang

  • From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation
    Minh Duc Bui, Xenia Heilmann, Mattia Cerrato, Manuel Mager, Katharina von der Wense

  • SEA-SafeguardBench: Culturally Grounded Safety Benchmark for Southeast Asian Languages
    Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, Trevor Cohn, Peerat Limkonchotiwat

  • COCOGEC: Counterfactual Generation for Robust Grammatical Error Correction
    Qianyu Wang, Xiaoman Wang, Yuanyuan Liang, Xinyuan Li, Yunshi Lan

  • DRP: Distilled Reasoning Pruning with Mathematical Skill-aware Step Decomposition for Efficient Large Reasoning Models
    Yuxuan Jiang, Dawei Li, Frank Ferraro

  • Bridging the Pose-Semantic Gap: A Cascade Framework for Text-Based Person Anomaly Search
    Zequn Xie, Guijin Luo, Chuxin Wang, Sihang Cai, Tao Jin, Zhou Zhao, Yixuan Tang

  • TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning
    Jinyang Wu, Chonghua Liao, Mingkuan Feng, Shuai Zhang, Zhengqi Wen, Haoran Luo, Ling Yang, Huazhe Xu, Jianhua Tao

  • Dual-Reasoner: Bridging Interleaved Atomicity and Streaming Latency via Thinking-while-Talking
    Yangzhuo Li, Shengpeng Ji, Yifu Chen, Tianle Liang, Haoyu Yang, junboli, Jun Fang, Lin Li, Qingyang Hong

  • FBS: Modeling Native Parallel Reading inside a Transformer
    Tongxi Wang

  • HqeKV: Towards Hybrid Quantization and Eviction for KV Cache in Long-Context LLM Inference
    He Wang, Yu Gu, Fangfang Li, Zhigang Wang, Zhenghao Liu, Ning Wang, Xiaohua Li, Ge Yu

  • Task Matters: Knowledge Requirements Shape LLM Responses to Context–Memory Conflict
    Kaiser Sun, Fan Bai, Mark Dredze

  • Adaptive Data Collection for Latin-American Community-sourced Evaluation of Stereotypes (LACES)
    Guido Ivetta, Pietro Palombini, Sofía Martinelli, Marcos J Gomez, M Emilia Echeveste, Sunipa Dev, Vinodkumar Prabhakaran, Luciana Benotti

  • MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Models
    Xinming Wang, Jian Xu, Bin Yu, Sheng Lian, Yi Chen, Boran Wang, Yingjian Zhu, Hongzhu Yi, Hong-Ming Yang, Han Hu, Cheng-Lin Liu, Xu-Yao Zhang

  • Chameleons and Guardians: Unveiling the Divergence in Personality Plasticity and Cognitive Resistance across LLMs
    Jiaxin Wu, Jie Zhao, Xinrong Huang, Cuihong Zhang, Xiuzhu Wu

  • Entropy Scheduling in Reinforcement Learning for Large Language Models
    Xingjin Wang, Howe Tissue, Lu Wang, Linjing Li, Daniel Dajun Zeng

  • TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems
    Rui Sun, Jie Ding, Chenghua Gong, Tianjun Gu, Yihang Jiang, Juyuan Zhang, Liming Pan, Linyuan Lü

  • AVA: Attentive VLM Agent for Mastering StarCraft II
    Weiyu Ma, Yuqian Fu, Zecheng Zhang, Bernard Ghanem, Guohao Li

  • Structure-Aware Quantized Retrieval for Long-Document Question Answering
    Hui Huang, Julien Velcin, Yacine Kessaci

  • GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning
    Yi Chen, Yuying Ge, Rui Wang, Yixiao Ge, Junhao Cheng, Ying Shan, Xihui Liu

  • Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation Ablation
    Wenpeng Xing, Moran Fang, Guangtai Wang, Changting Lin, Meng Han

  • Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block Generation
    Yuyan Zhou, Weiyu Chen, James Kwok

  • GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization
    Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, Aleksandr Gordeev, Vladimir Dokholyan, Maksim Kuprashevich

  • Chain-in-Tree: Back to Sequential Reasoning in LLM Tree Search
    Xinzhe Li

  • Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
    Xingjian Diao, Zheyuan Liu, Chunhui Zhang, Weiyi Wu, Keyi Kong, Lin Shi, Kaize Ding, Soroush Vosoughi, Jiang Gui

  • CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval
    Zhipeng Qian, Zihan Liang, Yufei Ma, Ben Chen, Huangyu Dai, Yiwei Ma, Jiayi Ji, Chenyi Lei, Han Li, Xiaoshuai Sun

  • RepoDistill: Distilling Repository Knowledge through Compression-Aware Budget Allocation and Policy Optimization
    Xin Yin, Zixiang Ding, Yiang Zhang, Qiang Wang, Rui Wang, Chao Ni, Zhe Cui

  • Finding RELIEF: Shaping Reasoning Behavior without Reasoning Supervision via Belief Engineering
    Chak Tou Leong, Dingwei Chen, Heming Xia, Qingyu Yin, Sunbowen Lee, Jian Wang, Wenjie Li

  • Bridging SFT and RL: Dynamic Policy Optimization for Robust Reasoning
    Dongyang Xu

  • FrontCoder: Scaling Visual Fidelity in Front-End Code Generation
    Jun Feng, Jian Yang, Wei Zhang, Jing Wang, Keyi Chen, Xiaokun Yang, Weicheng Gu, Yihang Lou, Yan Bai, Xianglong Liu

  • Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMs
    Arnav Attri, Anuj Attri

  • The Double Bind: Revisiting Preprinting and Peer Review Two Years After the Removal of the ACL Anonymity Period
    A Pranav, Shane Storks, Anne Lauscher

  • TinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks
    Yuanze Hu, Xinyu Wang, Zhichao Yang, Gen Li, Ye Qiu, Zhaoxin Fan, Yifan Sun, Wenjun Wu, Jin Dong, Xiaotie Deng

  • Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?
    H S V N S Kowndinya Renduchintala, Sumit Bhatia

  • Real Men are Tough: Evaluating Gender Bias and Sensitivity to Masculinity Norms in LLMs
    Elisa Leonardelli, Camilla Casula, Boglarka Nyul, Sara Tonelli

  • RISER: Orchestrating Latent Reasoning Skills for Adaptive Activation Steering
    Wencheng Ye, Xiaoyang Yuan, Yi Bin, Hengyu Jin, Liang Peng, Pengpeng Zeng, Heng Tao Shen

  • ReCoT-NER: Enhancing Zero-Shot Named Entity Recognition through Chain-of-Thought Prompting and Recall-Oriented Loss Optimization
    Dabin Fu, Fanghong Zhang

  • SyncThink: A Training-Free Strategy to Align Inference Termination with Reasoning Saturation
    Gengyang Li, Wang Cai, Yifeng Gao, Yunfang Wu

  • Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
    Yu Li, Sizhe Tang, Tian Lan

  • FlashMem: Distilling Intrinsic Latent Memory via Computation Reuse
    Yubo Hou, Zhisheng Chen, Tao Wan, Zengchang Qin

  • QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs
    Taolin Zhang, Haidong Kang, Dongyang Li, Qizhou Chen, Xiaofeng He, Chengyu Wang, Richang Hong

  • CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation
    Yanting Li, Zhuoyang Jiang, Enyan Dai, Lei Wang, Wen-Cai Ye, Li Liu

  • MAC-Reasoner: A Multi-Agent Collaborative Framework for Enhancing Logical Reasoning in Large Language Models
    Yehua Lin, Liping Zheng, Yin Chen

  • Once Correct, Still Wrong: Counterfactual Hallucination in Multilingual Vision-Language Models
    Basel Mousi, Fahim Dalvi, Shammur Absar Chowdhury, Firoj Alam, Nadir Durrani

  • DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding
    Jiaming Zhou, Xuxin Cheng, Shiwan Zhao, Yuhang Jia, Cao Liu, Ke Zeng, Xunliang Cai, Yong Qin

  • Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs
    Tristan Williams, Franziska Weeber, Sebastian Padó, Alan Akbik

  • CORES: Code-Oriented Reasoning for Complex Text-to-SQL and Generalizable TableQA
    Meng Zhang, Ruochun Jin, Yuanxi Peng, Wenjing Yang, Haotian Wang, Liting Sun, Kun Hu, Silin Yang, Zhang ke-di

  • Do Not Guess, Verify: Logic-Guided Adaptive Reasoning for Multimodal Misinformation Detection
    Kun Huang, Rui Qiu, Xiaoming Li, Salah Uddin

  • Hi-ZFO: Hierarchical Zeroth- and First-Order LLM Fine-Tuning via Importance-Guided Tensor Selection
    Feihu Jin, Ying Tan

  • MCP-Guard: A Multi-Stage Defense-in-Depth Framework for Securing Model Context Protocol in Agentic AI
    Wenpeng Xing, Zhonghao Qi, Yupeng Qin, Yilin Li, Caini Chang, Jiahui Yu, Changting Lin, Zhenzhen Xie, Meng Han

  • Half-S: Halving the Scale for Near-Lossless 4-Bit LLM Training
    Jinyang Du, Ruihao Gong, Linghan Ai, Zining Wang, Yunke Peng, Yao Wang, Lei Yan, wxuefei, Yaoyuan Wang, Jinyang Guo, Dahua Lin, Xianglong Liu

  • F-Actor: Controllable Conversational Behavior in Full-Duplex Models
    Maike Züfle, Ondrej Klejch, Nicholas Sanders, Jan Niehues, Alexandra Birch, Tsz Kin Lam

  • APEX: Learning Adaptive Priorities for Multi-Objective Alignment in Vision-Language Generation
    Dongliang Chen, Xinlin Zhuang, Junjie Xu, Luojian Xie, Zehui Wang, Jiaxi Zhuang, Haolin Yang, Liang Dou, Xiao He, Xingjiao Wu； Ying Qian

  • DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair Training
    Ziwen Pan, Zihan Liang, Jad Kabbara, Ali Emami

  • Experience-Driven Reflective Co-Evolution of Prompts and Heuristics for Autonomous Algorithm Design
    Yihong Liu, Junyi Li, Hongyu Lu, Xin Zhao, Ji-Rong Wen

  • Information Representation Fairness in Long-Document Embeddings: The Peculiar Interaction of Positional and Language Bias
    Elias Schuhmacher, Andrianos Michail, Juri Opitz, Rico Sennrich, Simon Clematide

  • RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase Extraction
    Jonggwon Park, Byungmu Yoon, Soobum Kim, Kyoyun Choi

  • Context-Value-Action Architecture for Value-Driven Large Language Model Agents
    TianZe Zhang, Sirui Sun, Yuhang Xie, Xin Zhang, Zhiqiang Wu, Guojie Song

  • Uncovering Strategic Egoism Behaviors in Large Language Models
    Yaoyuan Zhang, Zonghao Ying, Aishan Liu, Jian Yang, Tianlin Li, Yaodong Yang, Xianglong Liu

  • EMA: An Episodic Memory Agent for Efficient and Selective Memory
    Hongyi Lan, Jiaqi Song, Zhengjia Zhong, Hui Li, Hong Liu, Xianming Lin, Rongrong Ji

  • ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition
    Jiaming Zhou, Yujie Guo, Shiwan Zhao, Yao Lu, Jianye Wang, Haoqin Sun, Hui Wang, Yong Qin

  • SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models
    Shuaimin Li, Liyang Fan, Zeyang Li, Zhuoyue Wan, Yufang Lin, Shiwen Ni, Feiteng Fang, Hamid Alinejad-Rokny, Yuanfeng Song, Kun Jing, Chen Jason Zhang, Min Yang

  • Memo-SQL: Structured Decomposition and Experience-Driven Self-Correction for Training-Free NL2SQL
    Yang Zerui, Weichuan Wang, Yanwei Xu, Linqi Song, Yudai Matsuda, Wei Han, Bo Bai

  • Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems
    Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng

  • How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and Activation
    Hao Yang, Qinghua Zhao, Lei Li, Lingyi Meng, Mengda Yu

  • A Survey of Retentive Network
    Haiqi Yang, Zhiyuan Li, Yi Chang, Yuan Wu

  • RAG-KT: Cross-platform Explainable Knowledge Tracing with Multi-view Fusion Retrieval Generation
    Zhiyi Duan, Hongyu Yuan, Rui Liu

  • Conformal Event Prediction with Temporal Knowledge Graph
    Cheng Hu, Cong Cao, Fangfang Yuan, Diandian Guo, Pin Xu, Yu Liu, Yanbing Liu

  • Infinite Babble: Inflating 3D Vision-Language Model Inference Overhead via Adversarial Geometric Perturbation
    Shuoyang Sun, Jiaxin Hong, Yv Zhang, Kuofeng Gao, Hao Fang, Fan Mo, Bin Chen, Shu-Tao Xia

  • Uncertainty-Calibrated Elastic Alignment for Multimodal Sentiment Analysis with Missing Modalities
    Kang He, Yuzhe Ding, Rao Fu, Yukang Feng, Kaipeng Zhang, Yiming Liu, Fei Li, Chong Teng, Donghong Ji

  • On the Representation Geometry of LoRA Model Merging
    Chenyang Lu, Jiaru Li, Jinman Zhao, Xinran Chen, Yining Wang, Renyi Cai, Yuchen Li, Chao He

  • MCLE-Mol: Empowering LLM with Molecular Comprehension and Low-Cost Continual Evolution for Interpretable Property Prediction
    Zhili Pu, Lantian Zhang, Hao Duan, Zhixing Zhang, Keyun Zhu, Yongqi Fan, Ruihui Hou, Tong Ruan, Yun Tang

  • MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models
    Zhang He, Wenqian Cui, Haoning Xu, Xiao-Hui Li, Lei Zhu, Haoli Bai, Ma shaohua, Irwin King

  • Generating Effective CoT Traces for Mitigating Causal Hallucination
    Yiheng Zhao, Jun Yan

  • SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature Selection
    Huopu Zhang, Yanguang Liu, Miao Zhang, Zirui He, Mengnan Du

  • From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning
    Guo Tang, Ke Cheng, Huiming Fan, Heng Chang, Wenxiang Zheng, Xianhao Ou, Junjia Xiang, Ming Liu, Yujun Zhou, Li Lanyu, Bing Qin

  • LLM-Driven Multi-Perspective Location Completion for Next Location Prediction
    Pengxiang Lan, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Linying Jiang, Guibing Guo

  • WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering
    Yingjian Zhu, Xinming Wang, Kun Ding, Ying Wang, Bin Fan, Shiming Xiang

  • Understanding Conflicts in Multi-Objective Alignment through Reward Consistency
    Zhihao Xu, Yongqi Tong, Xin Zhang, Jun Zhou, Xiting Wang

  • MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization
    Haidong Xin, Xinze Li, Zhenghao Liu, Yukun Yan, Shuo Wang, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun

  • GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models
    Tianyu Pan, Damon L. Woodard

  • SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs
    Jie Sun, Yu Liu, Lu Han, Qiwen Deng, Xiang Shu, Yang Xiao, Lintao Ma, Xingyu Lu, Jun Zhou, Pengfei Liu, Jiancan Wu, Xiang Wang

  • Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models
    Xiaofan Zheng, Xinghao Wang, Xiaojun Wan

  • Look Twice before You Leap: A Rational Framework for Localized Adversarial Text Anonymization
    Donghang Duan, Xu Zheng, Yuefeng He, Chong Mu, Leyi Cai, Lizong Zhang

  • K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology
    Soyeon Kim, Cheongwoong Kang, Myeongjin Lee, Eun-Chul Chang, Lee Jaedeok, Jaesik Choi

  • V-GameGym: Visual Game Generation for Code Large Language Models
    Wei Zhang, Jian Yang, Renshuai Tao, Linzheng Chai, Shuyue Guo, Jiajun Wu, Xiaoming Chen, Ganqu Cui, Ning Ding, Xander Xu, Hu Wei, Bowen Zhou

  • UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models
    Jiajun Wu, Jian Yang, Wei Zhang, Linzheng Chai, Yuchi Ma, Ensheng Shi, Yuqing Ma, Zhoujun Li, Xianglong Liu

  • Deciphering Cultural Representations in Large Language Models via Sparse Autoencoders
    Chenye Zou, Difan Jiao, Lijie Hu

  • Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain
    Xiaoyu Hu, Jinman Zhao

  • Duplicate-Aware Controlled Code Generation: Enhancing Copyright Protection with Targeted Reordering Beam Search in LLMs
    Junbo Fu, Guoshuai Zhao, Linkang Yang, Yunqi Mi, Xueming Qian

  • Graph-Based Chain-of-Thought Pruning for Reducing Redundant Reflections in Reasoning LLMs
    Hongyuan Yuan, Xinran He, Run Shao, Bolei He, Xianwei Xue, Mengke Chen, Qiutong Pan, Haiwei Wang, Haifeng Li

  • Too Good to be Bad: On the Failure of LLMs to Role-Play Villains
    Zihao Yi, Qingxuan Jiang, Ruotian Ma, Xingyu Chen, Qu Yang, Mengru Wang, Fanghua Ye, Ying Shen, Zhaopeng Tu, Xiaolong Li, Liefeng Bo

  • AudioPrivacy: Parallel Audio Dataset for Speaker Profiling with Diverse Audio Types and Rich Attributes
    Jiabei He, Yanzhe Zhang, Jiaming Zhou, Hui Wang, Haoqin Sun, Yong Qin

  • Federated LoRA Fine-Tuning with Pipelined Error-Mitigated Aggregation and Matrix-Wise Freezing
    Haoran Wang, Xiong Wang, Yuqing Li, Jing Chen, Junyi Zhang, Nan Yan, Kun He, Wei Wang

  • RTCFake: Speech Deepfake Detection in Real-Time Communication
    Jun Xue, Zhuolin Yi, Yihuan Huang, Yanzhen Ren, Yujie Chen, Cunhang Fan, Zicheng Su, Yongcheng Zhang, Bo Cai

  • Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation
    Ivanhoé Botcazou, Tassadit Amghar, Sylvain Lamprier, Frédéric Saubion

  • LeakDojo: Decoding the Leakage Threats of RAG Systems
    Maosen Zhang, Jianshuo Dong, Lu boting, Li Wenyue, Xiaoping Zhang, Tianwei Zhang, Han Qiu

  • CodeWiki: Evaluating AI’s Ability to Generate Holistic Documentation for Large-Scale Codebases
    Anh Nguyen Hoang, Minh Le-Anh, Bach Le, Nghi D. Q. Bui

  • ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models
    Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, Zhiyuan Yu, Qipeng Guo, Xuanjing Huang, Xipeng Qiu

  • Breaking the Static Graph: Context-Aware Traversal for Graph-Based RAG
    Kwun Hang Lau, Fangyuan Zhang, Boyu Ruan, Yingli Zhou, Qintian Guo, Ruiyuan Zhang, Xiaofang Zhou

  • POP: Prefill-Only Pruning for Efficient Large Model Inference
    Junhui He, Zhihui Fu, Jun Wang, Qingan Li

  • Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs
    Yue Huang, Haomin Zhuang, Jiayi Ye, Han Bao, Yanbo Wang, Hang Hua, Siyuan Wu, Pin-Yu Chen, Xiangliang Zhang

  • StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMs
    Yang Luo, Liu Xinran, TianTian Ji, Zhiyi yin, Lingyun Peng, Shuyu Li

  • Role-Sensitive Neurons: A Neuron-Level Gain Control Mechanism for Confidence Steering
    Peiwen Huang, Chih-Hao Hsu, Tzu-Hung Huang, Shou-De Lin

  • StreamingEval: A Unified Evaluation Framework towards Realistic Streaming Video Understanding
    Guowei Tang, Tianwen Qian, Huanran Zheng, Yifei Wang, Xiaoling Wang

  • CogGen: A Cognitively Inspired Recursive Framework for Deep Research Report Generation
    Kuo Tian, Pengfei Sun, Zhen Wu, Junran Ding, Xinyu Dai

  • Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent Debate
    Cunda Wang, Ziying Ma, Po Hu, Weihua Wang, Feilong Bao

  • Exploring Multilingual Pre-trained Language Model for Aspect-based Sentiment Analysis
    Ye Wang, Ruijun Jiang, Zhongqing Wang, Guodong Zhou

  • Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers
    Van Yang, Shouren Wang, Debargha Ganguly, Xinpeng Li, Chaoda Song, Vikash Singh, Vipin Chaudhary, Xiaotian Han

  • SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
    Wenjie Yang, Mao Zheng, Mingyang Song, Zheng Li, Sitong Wang

  • HisDoc-OCR: Restoring Visual Grounding in MLLMs for Chinese Historical Document OCR
    Jiahuan Cao, Yongxin Shi, Zeyu Shan, Zhengyang Lu, Lianwen Jin

  • One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment
    Huixing Que, Qi Liu, Weibo Gao, Zhenya Huang

  • Interactive Learning for LLM Reasoning
    Hehai Lin, Shilei Cao, Sudong Wang, Haotian Wu, Minzhi Li, Linyi Yang, Juepeng Zheng, Chengwei Qin

  • Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models
    Yu-Xiang Lin, Cheng-Han Chiang, Hung-yi Lee

  • NeuroSym-Cal: Bridging the Reasoning-Execution Gap in Code Generation via Hierarchical Calibration
    Peiyang Liu, Yining Wang, Youru Li, Long Li, Zhi Cai, Wei Ye

  • GOBench: Stage-Wise Diagnostics and the Visual Paradox in Multimodal Graph Optimization
    Yinghao Chen, Wantong Xie, Shuli Zeng, Sijia Zhang, Xiaotian Pan, Feng Wu, Xiangyang Li

  • Sparse Growing Transformer: Training-Time Sparse Depth Allocation via Progressive Attention Looping
    YaoChen, Yilong Chen, Yinqi Yang, Junyuan Shang, Zhenyu Zhang, Zefeng Zhang, Shuaiyi Nie, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Tingwen Liu

  • Computational Narrative Understanding for Expressive Text-to-Speech
    Gaspard Michel, Elena V. Epure, Christophe Cerisara

  • DataSage: Multi-agent Collaboration for Insight Discovery with External Knowledge Retrieval, Multi-role Debating, and Multi-path Reasoning
    Xiaochuan Liu, Yuanfeng Song, Xiaoming Yin, Xing Chen

  • Eliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View
    Hao Liao, Jiwei Zhang, Jianxun Lian, Wensheng Lu, Mingqi Wu, Shuo Wang, Yong Zhang, Yitian Huang, Mingyang Zhou, Rui Mao

  • Evian: Towards Explainable Visual Instruction-tuning Data Auditing
    Zimu Jia, Mingjie Xu, Andrew Estornell, Jiaheng Wei

  • Iterative Self-Correction for Text-Driven Person Re-Identification with Large Vision-Language Models
    Guijin Luo, Zequn Xie, Sihang Cai, Chuxin Wang, Zhou Zhao, Yixuan Tang

  • Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction
    Xingwu Chen, Zhanqiu Zhang, Steven Y. Guo, Difan Zou

  • Label Words as Local Task Vectors in In-Context Learning
    Bowen Zheng, Ming Ma, Zhongqiao Lin, Tianming Yang

  • CoGR-MoE: Concept-Guided Expert Routing with Consistent Selection and Flexible Reasoning for Visual Question Answering
    Xiyin Zeng, Yi Lu, Hao Wang

  • Which Pieces Does Unigram Tokenization Really Need?
    Sander Land, Yuval Pinter

  • Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning
    Fei Wu, Zhenrong Zhang, Qikai Chang, Jianshu Zhang, Quan Liu, Jun Du

  • When depth is redundant: Efficient transformer-based speech anti-spoofing
    Hoan My Tran, Damien Lolive, Aghilas SINI, Arnaud Delhay, Pierre-Francois Marteau, David Guennec

  • GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question Answering
    Guanran Luo, Wentao Qiu, Zhongquan Jian, Meihong Wang, Qingqiang Wu

  • PerMemSafe: Benchmarking Implicit Personalized Safety of Long Horizon Self-Evolving Agents
    Hengyu An, Minxi Li, Naen Xu, Chunyi Zhou, Xiaogang Xu, Tianyu Du, Jinbao Li, Shouling Ji

  • TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation
    Wenbiao Tao, Xinyuan Li, Yunshi Lan, Weining Qian

  • Danger Depends on the Mind: A Theory-of-Mind Grounded Dataset and Model for Context-Dependent Dangerous Speech
    Yuanchen Shi, Longyin Zhang, Guodong Zhou, Fang Kong

  • One Token Is Enough: Improving Diffusion Language Models with a Sink Token
    Zihou Zhang, Zheyong Xie, Li zhong, Haifeng Liu, Shaosheng Cao

  • Thunder-KoNUBench: A Corpus-Aligned Benchmark for Korean Negation Understanding
    Sungmok Jung, Yeonkyoung So, Joonhak Lee, Sangho Kim, Yelim Ahn, Jaejin Lee

  • Progra: Progress-Aware Reinforcement Learning for Multi-Turn Function Calling
    Huacan Chai, Zijie Cao, Maolin Ran, Yingxuan Yang, Jianghao Lin, Xin Peng, Hairui Wang, Renjie Ding, Ziyu Wan, Muning Wen, Weiwen Liu, Weinan Zhang, Fei Huang, Ying Wen

  • Towards Modern Topic Models: A Survey of Taxonomies and Paradigm Shifts from Algorithm‑Centric to LLM‑Centered Topic Analysis
    Xuan Xu, Zhongliang Yang, Haolun Li, Rui Tian, Beilin Chu, J Song, Yu Li, Shaolin Tan, Linna Zhou

  • Beyond Templates: Dynamic Adaptation of Reasoning Demonstrations via Feasibility-Aware Exploration
    YongWu, Weihang Pan, Ke Li, Chen Binhui, Ping Li, Binbin Lin

  • CFlowPsyD: An Analysis-Enhanced Dataset for Asynchronous Psychological Counseling through Self-Optimizing Multi-Agent Framework
    Donghao Li, Yifan Deng, Jinta Weng, Xingsheng ZHANG, Chenxu Niu, Jingyuan Tian, Heyan Huang, Yue Hu

  • The Thin Line Between Comprehension and Persuasion in LLMs
    Adrian de Wynter, Tangming Yuan

  • Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens
    Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha, Debora Taye Tesfaye, Elbethel Daniel Zewdie, Ikram Behiru Nesiru, Jitu Ewnetu Hailu, Senait Mengesha Yayo

  • Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning
    Cehao Yang, Xueyuan Lin, Xiaojun Wu, Chengjin Xu, Xuhui Jiang, Honghao Liu, Hui Xiong, Jian Guo

  • Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation
    Qiong Wu, Tan Yue, Jianxin Liang, Zhen Li, Kai He, Shuai Zhao, Dongyan Zhao

  • TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models
    Yi Zhao, Yajuan Peng, Cam-Tu Nguyen, Zuchao Li, Xiaoliang Wang, Xiaoming Fu, Hai Zhao

  • TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics
    Chao Wen, Jacqueline Staub, Adish Singla

  • Calibrated Progressive Distillation: Co-Designing Curriculum and Target Mixing for Knowledge Distillation of Large Language Models
    Mengxiang Zhang, Lingyuan Liu

  • Faithful-First Reasoning, Planning, and Acting for Multimodal LLMs
    Junxian Li, Xinyue Xu, Sai Ma, Di Zhang, Sichao Li

  • SEAD: A Surrogate-free Label-only Membership Inference Attack against Pre-trained LLMs with Semantic-Aware Density
    Biao Yi, Jiahao Li, Yiming Li, Yu He, Baolei Zhang, Zheli Liu, Dacheng Tao

  • Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval-Augmented Generation
    Ekaterina Fadeeva, Aleksandr Rubashevskii, Dzianis Piatrashyn, Roman Vashurin, Shehzaad Dhuliawala, Artem Shelmanov, Timothy Baldwin, Preslav Nakov, Mrinmaya Sachan, Maxim Panov

  • AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training
    Zhiyuan Li, Yuan Wu, Yi Chang

  • MADRA: Multi-Agent Debate for Risk-Aware Embodied Planning
    JunJian Wang, Lidan Zhao, Xi Sheryl Zhang

  • Navigating Large-Scale Document Collections: MuDABench for Multi-Document Analytical QA
    Zhanli Li, Yixuan Cao, Lvzhou Luo, Ping Luo

  • CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
    Zhenhong Zhou, Zherui Li, Jie Zhang, Yuanhe Zhang, Kun Wang, Yang Liu, Qing Guo

  • Afrispeech Semantics: Evaluating Audio–Semantic Reasoning in Spoken Language Models Across Domains and Accents
    Chibuzor Okocha, Christan Grant

  • MoPrune: Scene-Guided Motion-Aware Token Pruning for Efficient Video Large Language Models
    Wenhao Hong, Ziyang Wang, Yixin Zhang, Zilei Wang

  • SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation
    Chengyi Yang, Pengzhen Li, Jiayin Qi, Aimin Zhou, Ji Wu, Ji Liu

  • LoReFact: Bridging the Logic Gap in Fact-Checking
    Qiming Xie, Wenjie Zheng, Xiangqing Shen, Rui Xia

  • ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning
    Zhensheng Wang, Xiaole Liu, Wenmian Yang, Kun Zhou, Yiquan Zhang, Weijia Jia

  • Rectified Sparse Attention for Efficient Long-Sequence Generation
    Yutao Sun, Tianzhu Ye, Li Dong, Yuqing Xia, Jian Chen, Yizhao Gao, Shijie Cao, Jianyong Wang, Furu Wei

  • Knowing-but-Doing: Diagnosing and Defending Role-Play-Driven LLMs Jailbreaks via Moral Disengagement
    Haiming Qin, Jianxun Lian, Qimin Zhong, Mingyang Zhou, Hao Liao, Naipeng Chao

  • Generative-to-Discriminative Test-Time Adaptation via Manifold-Aware Diffusion and Bayesian Distillation
    Boyun Zhang, Zequn Xie, Fangming Feng, Zihan Zhang, Yongbo He, Chuxin Wang, Sihang Cai, Tao Jin, Qifei Zhang

  • Evaluating Memory Capability in Continuous Lifelog Scenario
    Jianjie Zheng, Zhichen Liu, Zhanyu Shen, Jingxiang Qu, Guanhua Chen, Yile Wang, Yang Xu, Yang Liu, Sijie Cheng

  • GoT-R1: Internalizing Graph-of-Thought via Structural Reinforcement for High-Density Reasoning
    Zuchao Li, Qiwei Li, Yao Yao, Hai Zhao, Lefei Zhang, Bo Du

  • Hey, That’s My Data! Token-Only Dataset Inference in Large Language Models
    Chen Xiong, Zihao Wang, Rui Zhu, Tsung-Yi Ho, Pin-Yu Chen, Jingwei Xiong, Haixu Tang

  • ToxiTrace: Gradient-Aligned Training for Explainable Chinese Toxicity Detection
    Boyang Li, Hongzhe shou, Yuanyuan Liang, JingBin Zhang, Fang Zhou

  • Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers
    Nguyen Viet Anh, Shiqian Zhao, Gia Dao, Runyi Hu, Yi Xie, Xiaobao Wu, Anh Tuan Luu

  • From Imitation to Discrimination: Progressive Curriculum Learning for Robust Web Navigation
    PengChuangWei Zhang, Renshuai Tao, Xinhao ZhangJian Yang

  • Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow
    Yangyang ZhongPengxin Luo

  • Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation
    Renfei Dang, Peng Hu, Zhejian Lai, Changjiang Gao, Min Zhang, Shujian Huang

  • Attribution-Based Analysis and Optimization of Modular Agentic Workflows
    Yingxuan Yang, Bo Huang, Siyuan Qi, Chao Feng, Haoyi Hu, Yuxuan Zhu, Jinbo Hu, Haoran Zhao, Ziyi He, Xiao Liu, Zongyu Wang, Muning Wen, Lin Qiu, Xuezhi Cao, Xunliang Cai, Yong Yu, Weinan Zhang

  • Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning
    Max Schaffelder, Albert Gatt

  • SolidCoder: Bridging the Mental-Reality Gap in LLM Code Generation through Concrete Execution
    Woojin Lee, Jin-Xia Huang

  • EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
    Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Wu

  • PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
    Chengbing Wang, Wuqiang Zheng, Yang Zhang, Fengbin Zhu, Junyi Cheng, Yi Xie, Wenjie Wang, Fuli Feng

  • Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations
    Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, Qiyu Wu, Toshiyuki Sekiya, Christof Monz

  • VizoMem: A Visual-Textual Memory Framework for Efficient Long-Horizon Reasoning
    Weijie Liang, Yuanfeng SONG, Xing Chen, Caleb Chen Cao, Sirui Han, Yike Guo

  • More Images, More Problems? A Controlled Analysis of VLM Failure Modes.
    Anurag Das, Adrian Bulat, Alberto Baldrati, oannis Maniadis Metaxas, Bernt Schiele, Georgios Tzimiropoulos, Brais Martinez

  • EOP-LLM: Energy Oriented Pruning for Large Language Models
    Guan Huang, Tao Shu

  • Sentipolis: Emotion-Aware Agents for Social Simulations
    Chiyuan Fu, Lyuhao Chen, Yunze Xiao, Weihao Xuan, Carlos Busso, Mona T. Diab

  • Bidirectional Semantic Enhancement for Schema Routing Across Large-Scale Databases
    Yuyang Wu, Xiaoliang Wang, Cam-Tu Nguyen

  • DeepPlanner: Scaling Planning Capability for Deep Research Agents via Advantage Shaping
    Wei Fan, Wenlin Yao, Zheng Li, Feng Yao, Xin Liu, Liang Qiu, Qingyu Yin, Yangqiu Song, Bing Yin

  • SupChain-Bench: Benchmarking Large Language Models for Real-World Supply Chain Management
    Shengyue Guan, Yihao Liu, Lang Cao

  • How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models
    Judith Sieker, Sina Zarrieß

  • CoopQ: Cooperative Game Inspired Layerwise Mixed Precision Quantization for LLMs
    Junchen Zhao, Ali Derakhshan, Jayden Kana Hyman, Junhao Dong, Sangeetha Abdu Jyothi, Ian Harris

  • Breaking Language Preference in Multilingual RAG via Language-Controllable Retrieval and Language-Agnostic Reasoning
    Wenshuai Huo, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Yichong Huang, Hui Wang, Bing Qin

  • From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment
    Ivo Bueno, Babette Bühler, Philipp Stark, Tim Fütterer, Ulrich Trautwein, Dorottya Demszky, Heather Hill, Enkelejda Kasneci

  • LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing
    Dongfang Li, Zixuan Liu, Gang Lin, Baotian Hu, Min Zhang

  • HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution
    Hanhua Hong, Yizhi Li, Jiaoyan Chen, Sophia Ananiadou, Xiaoli Li, Jung-jae Kim, Chenghua Lin

  • RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems
    Jiacheng Liu, Zichen Tang, Zhongjun Yang, Xinyi Hu, Xueyuan Lin, Linwei Jia, Ruofei Bai, Rongjin Li, Shiyao Peng, Haocheng Gao, Haihong E

  • On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation
    Weichuan Wang, Mingyang Liu, Chen Ma, Linqi Song

  • ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability
    Ryuto Koike, Masahiro Kaneko, Ayana Niwa, Preslav Nakov, Naoaki Okazaki

  • Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
    Mengqi Liao, Lu Wang, Chaoyun Zhang, Bo Qiao, Si Qin, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Huaiyu Wan

  • The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval
    Tomer Wullach, Ori Shapira, Amir David Nissan Cohen

  • Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning
    Cong Wan, Ying He, Zhongzhan Huang, Hefeng Wu

  • PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback
    Wei Xia, Jin Wu, Haoran Shi, Xiangyu Wang, Chanjin Zheng

  • FinMaster: A Holistic Benchmark for Full-Pipeline Financial Management with Large Language Models
    Junzhe Jiang, Chang Yang, Aixin CUI, Sihan Jin, Yujing Zhang, Yilin Xiao, Ruiyu Wang, Bo Li, Xiao Huang, Danny Dongning Sun, Xinrun Wang

  • PersonaForge: Psychology-Grounded Dual-Process Architecture for Personality-Consistent Role-Playing Agents
    Jizhou Tong, Sirui Zou

  • Graph Explorer: Training Faithful KG Agents with Visibility-Grounded Supervision
    Yifeng Chen, Sicheng Wan, Tianyi Zhang, Xuezhou Zhang

  • Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain Pretraining
    Xiaofan Zhou, Lu Cheng

  • Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
    Yuxiang Wang, Xinnan Dai, Wenqi Fan, Yao Ma

  • Beyond Rejection Sampling: Trajectory Fusion for Scaling Mathematical Reasoning
    Jie Deng, Hanshuang Tong, Jun Li, Shining Liang, Ning Wu, Hongzhi Li, Yutao Xie

  • ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation
    Yihua Zhang, Mingfu Liang, Jiyan Yang, Rong Jin, Wen-Yen Chen, Yiping Han, Huayu Li, Buyun Zhang, Liang Luo, Luke Simon, Sijia Liu, Tianlong Chen, Xi Liu

  • Does Chain-of-Thought Reasoning Help Mobile GUI Agents? An Empirical Study
    Li Zhang, Longxi Gao, Mengwei Xu

  • Asymmetric Relational-Geometry Driven Universal Adversarial Perturbations for Vision-Language Models
    Jiaxin Ye, Weihai Li, Ying Wang, Simeng Qin, Zhitao Zeng, Zikai Xu

  • PaperScope: A Multi-Modal Multi-Document Benchmark for Agentic Deep Research Across Massive Scientific Papers
    Lei Xiong, Huaying Yuan, Zheng Liu, Zhao Cao, Zhicheng Dou

  • When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
    Zhongxiang Sun, Yi Zhan, Chenglei Shen, Weijie Yu, Xiao Zhang, Ming He, Jun Xu

  • Law in Silico: Simulating Legal Society with LLM-Based Agents
    Yiding Wang, Yuxuan Chen, Fauxu Meng, Xifan Chen, Xiaolei Yang, Muhan Zhang

  • MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues
    Yaning Pan, Qianqian Xie, Guohui Zhang, Zekun Wang, Yongqian Wen, Yuanxing Zhang, Haoxuan Hu, Zhiyu Pan, Yibing Huang, Zhidong Gan, Yonghong Lin, An Ping, Shihao Li, Yanghai Wang, Tianhao Peng, Jiaheng Liu

  • Query-Aware Graph Attention for Precise Subgraph Retrieval in Knowledge-Augmented Reasoning
    Yuanye Xu, Linyi Guo, Yue Zhang, Ning Fu

  • LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural Counterfactuals
    Gilat Toker, Nitay Calderon, Ohad Amosy, Roi Reichart

  • Contract-Coding: Towards Repo-Level Generation via Structured Symbolic Paradigm
    Yilin, LujinZhao, YijieShi

  • Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization
    Gabriel Loiseau, Damien Sileo, Damien Riquet, Maxime Meyer, Marc Tommasi

  • SWE-QA: Can Language Models Answer Repository-level Code Questions?
    Weihan Peng, Yuling Shi, Yuhang Wang, Xinyun Zhang, Beijun Shen, Xiaodong Gu

  • Efficient PRM Training Data Synthesis via Formal Verification
    Ryo Kamoi, Yusen Zhang, Nan Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Wenpeng Yin, Rui Zhang

  • Revealing the Attention Floating Mechanism in Masked Diffusion Models
    Xin Dai, Pengcheng Huang, Zhenghao Liu, Shuo Wang, Yukun Yan, Chaojun Xiao, Yu Gu, Ge Yu, Maosong Sun

  • Balancing Knowledge Breadth and Task Depth for Effective Domain Adaptation Fine-Tuning
    Mu Zhang, Yuxiang Chu, Guangya Yu, Yongqi Fan, Weiyan Zhang, Hang Hu, Tong Ruan, Jingping Liu

  • Explain the Flag: Contextualizing Hate Speech Beyond Censorship
    Jason Liartis, Eirini Kaldeli, Lambrini Gyftokosta, Eleftherios Chelioudakis, Orfeas Menis Mastromichalakis

  • EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
    Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou

  • Iterative Knowledge Graph Refinement and Integration for Medical Question Answering
    Haochen Zou, Yongli Wang

  • Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains
    Yuqi Xiong, Chunyi Peng, Zhipeng Xu, Zhenghao Liu, Zulong Chen, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu

  • Lost in Stories: Consistency Bugs in Long Story Generation by LLMs
    Junjie Li, Xinrui Guo, Yuhao Wu, Roy Ka-Wei Lee, Hongzhi Li, Yutao Xie

  • Chinese Court Simulation with LLM-Based Agents System
    Kaiyuan Zhang, Jiaqi Li, Haitao Li, Weihang Su, Yiqun LIU, Shaokun Zou, Cheng Luo, Yujia Zhou, Yueyue Wu, Qingyao Ai

  • SPASM: Stable Persona-driven Agent Simulation for Multi-turn Dialogue Generation
    Han Luo, Guy Laban

  • Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI
    Xingmeng Zhao, Tongnian Wang, Dan Schumacher, Veronica Rammouz, Anthony Rios

  • Masking or Mitigating? Deconstructing the Impact of Query Rewriting on Retriever Biases in RAG
    Agam Goyal, Koyel Mukherjee, Apoorv Saxena, Anirudh Phukan, Eshwar Chandrasekharan, Hari Sundaram

  • Unifying Inference-Time Planning Language Generation
    Prabhu Prakash Kagitha, Bo Sun, Ishan Desai, Andrew Zhu, Cassie Huang, Manling Li, Ziyang Li, Li Zhang

  • EmoRes: Toward Adaptive Psychological Support via User-Agnostic Benchmark and Topic-Mining Agent
    Zhengwei Zou, Xuanming Jiang, Baoyi An, Dingyu Nie, Zhengxing Fang, Qingyu Liu, Xueming Qian, Guoshuai Zhao, Zhongyu Yang

  • Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data
    Xuanming Zhang, Shwan Ashrafi, Aziza Mirsaidova, Amir H. Rezaeian, Miguel Ballesteros, Lydia Chilton, Zhou Yu, Dan Roth

  • Mitigating Cultural Bias in LLMs via Multi-Agent Cultural Debate
    Qian Tan, Lei Jiang, Yuting Zeng, Shuoyang Ding, Xiaohua Xu

  • ToolRM: Towards Agentic Tool-Use Reward Modeling
    Renhao Li, Jianhong Tu, Yang Su, Yantao Liu, Fei Huang, Hamid Alinejad-Rokny, Derek F. Wong, Junyang Lin, Min Yang

  • MDocRAG-RL: Empowering Multi-Modal Document RAG via Complex Visual Reasoning with Reinforcement Learning
    Zhongyu Wang

  • MARS: Unleashing the Power of Speculative Decoding via Margin-Aware Verification
    Jingwei Song, Xinyu Wang, Hanbin Wang, Xiaoxuan Lei, Tianyu Shi, Shixin Han, Eric Yang, Xiao-Wen Chang, Lynn Ai

  • AI, Take the Wheel: What Drives Delegation and Trust in Human–Computer Cooperative Question Answering?
    Maharshi Gor, Yoo Yeon Sung, Yu Hou, Eve Fleisig, Zhu Irene Ying, Tianyi Zhou, Jordan Lee Boyd-Graber

  • Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration
    Chongsheng Zhang, Hao Wang, Zelong Yu, Esteban Garces Arias, Julian Rodemann, Zhanshuo Zhang, Qilong Li, Gaojuan Fan, Krikamol Muandet, Christian Heumann

  • WaveDetect: Robust Framework for Machine-Generated Text Detection via Wavelet Transform
    Zhichen Liu, Kaitong Qin, Linhan He, Yang Xu

  • AHEAD: Attention Head Energy-Aware Dynamics for Hallucination Mitigation in MLLMs
    Jiale Chang, Ying Li, Siliang Tang, Yueting Zhuang

  • TopoSHIELD: Reshaping the Flow of Malice via Spatio-Temporal Risk-Aware Topological Evolution in Multi-Agent Systems
    Ruiyang Huang, Chenxi Wang, tinghe Zhang, Fengrui Liu, Jiayan Sun, Haocheng Wang, Yifan Wu

  • Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment
    Edward Y. Chang

  • SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
    Yuhao Wu, Yushi Bai, Zhiqiang Hu, Juanzi Li, Roy Ka-Wei Lee

  • ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks
    Zhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, Mario Fritz

  • Cogito: A Cognitive Agentic Framework Driven by Dynamic Graph of Thoughts for Financial Report Generation
    Chen Lifan, Wei Ding, Jingwen Yang, Xiuze Zhou, Jingan Chen, Fan Lin

  • From Coarse to Fine: A Multi-Granularity Multimodal Framework for Teacher Sentiment Analysis
    Zhiyi Duan, Xiangren Wang, Jiangshan Guan, Bing Jia, Qianli Xing

  • PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics
    Atharva Naik, Prakam Dhiman, Yash Mathur, Darsh Agrawal, Manav Kapadnis, Yuwei An, Clayton Marr, Carolyn Rose, David R. Mortensen

  • T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation
    Kaiyue Sun, Rongyao Fang, Chengqi Duan, Xian Liu, Aoxue Li, Xihui Liu

  • CGBridge: Bridging Code Graphs and Large Language Models for Better Structure-Aware Code Understanding
    Zeqi Chen, Zhaoyang Chu, Yi Gui, Feng Guo, Yao Wan, Chuan Shi

  • Candidate-Aware Retrieval and Reranking for Multiple-Choice Question Answering: Arabic as a Case Study
    Yassine Bouziane, Youness Moukafih, Mounir Ghogho

  • Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation
    Zhen Bi, Zhenlin Hu, Xueshu Chen, Mingyang Chen, Cheng Deng, Yida Xue, Zhen Wang, Qing Shen, Ningyu Zhang, Jungang Lou

  • ACSE: An Ancient Character Semantic-Aware Embedding for Large Language Models
    Zhihan Zhou, Daqian Shi, Lida Shi, Rui Song, Peiqiang Qiu, Xiaolei Diao, Hao Xu

  • Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search
    Yifei Zhang

  • Speak No Evil, Just Prompt: Low-resource Multilingual Toxic Speech Detection with Audio Language Model
    Mingzi Zuo, Lei Zhang, Hailiang Sun, Shengzhi Huo, Changyu Dong, Xin Wang, Bo Wang, Hao Liu

  • EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations
    Haoqin Sun, Jinghua Zhao, Xuechen Wang, Shiwan Zhao, Jiaming Zhou, Hui Wang, Xi Yang, Yequan Wang, Yonghua Lin

  • What Prompts Don’t Say: Understanding and Managing Underspecification in LLM Prompts
    Chenyang Yang, Yike Shi, Qianou Ma, Michael Xieyang Liu, Christian Kaestner, Tongshuang Wu

  • AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling
    Jiacheng Shi, Hongfei Du, Xinyuan Song, Y. Alicia Hong, Yanfu Zhang, Ashley Gao

  • Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning
    Fengran Mo, Yifan Gao, Sha Li, Hansi Zeng, Xin Liu, Zhaoxuan Tan, Xian Li, Jianshu Chen, Dakuo Wang, Meng Jiang

  • Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks
    Ali Al-Lawati, Suhang Wang

  • PED: Route-Decoupled Diagnostics for Persona Consistency in Spoken Agents
    Weihao Liu, Junrui Wei, Zhao Zhang, Ju Zhang

  • Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI Discourse
    Hubert Plisiecki, Maria Leniarska, Jan Piotrowski, Marcin Zajenkowski

  • Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize
    Hongru WANG, Rui Wang, Jushi Kai, Boyang XUE, Yongqi Li, Shijue Huang, Xiaoteng Ma, Jeff Z. Pan, Amos Storkey

  • GreekMMLU: A Native-Sourced Multitask Benchmark for Evaluating Language Models in Greek
    Yang Zhang, Mersin Konomi, Christos Xypolopoulos, Konstantinos Divriotis, Konstantinos Skianis, Giannis Nikolentzos, Giorgos Stamou, Guokan Shang, Michalis Vazirgiannis

  • User-Assistant Bias in LLMs
    Xu Pan, Jingxuan Fan, Zidi Xiong, Ely Hahami, Jorin Overwiening, Ziqian Xie

  • ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection
    Benjamin Shiue-Hal Chou, Yi Zhu, Surya Koppisetti

  • ReStyle-TTS: Relative and Continuous Style Control for Zero-Shot Speech Synthesis
    Haitao Li, Chunxiang Jin, Chenglin Li, Wenhao Guan, Zhengxing Huang, Xie Chen

  • Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text
    Tunazzina Islam

  • FACTS: Table Summarization via Offline Template Generation with Agentic Workflows
    Ye Yuan, Mohammad Amin Shabani, Siqi Liu

  • How Language Models Conflate Logical Validity with Plausibility: A Representational Analysis of Content Effects
    Leonardo Bertolazzi, Sandro Pezzelle, Raffaella Bernardi

  • LLMs Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions
    Xuhao Hu, Peng Wang, Xiaoya Lu, Dongrui Liu, Xuanjing Huang, Jing Shao

  • AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading
    Zheye Deng, Weixiang Yan, Changlong Yu, Jiashu Wang

  • Distribution Shift Alignment Helps LLMs Simulate Survey Response Distributions
    Ji Huang, Mengfei Li, Shuai Shao

  • PhysPRM: A Generative Process Reward Model with Fine-grained Diagnosis for Physics Problem Solving
    Yuxuan Dong, Xinyu Zhang, Lingling Zhang, Han Lai, Pengyu Li, Bifan Wei, Yaqiang Wu, Jun Liu

  • The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks
    Yusheng Zhao, Jian Zhao, Tianle Zhang, Feng Wei, Xuelong Li

  • CoRE: A Fine-Grained Code Reasoning Benchmark Beyond Output Prediction
    Jun Gao, Yun Peng, Qian Qiao, Changhai Zhou, Yuhua Zhou, Shiyang Zhang, Shichao Weng, Zhenchang Xing, Xiaoxue Ren

  • Empowering Reliable Visual-Centric Instruction Following in MLLMs
    Weilei He, Feng Ju, Zhiyuan Fan, Rui Min, Minhao Cheng

  • TT-SI: Self-Improving LLM Agents with Test-Time Training
    Emre Can Acikgoz, Cheng Qian, Heng Ji, Dilek Hakkani-Tür, Gokhan Tur

  • Conflicts Make Large Reasoning Models Vulnerable to Attacks
    Honghao Liu, Chengjin Xu, Xuhui Jiang, Cehao Yang, Shengming Yin, Zhengwu Ma, Lionel Ni, Jian Guo

  • Linear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration
    Ryan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang, Ming-Hao Hsu, Florian Eichin, Zhizheng Wu, Alane Suhr, Michael A. Hedderich, David Harwath, David R. Mortensen, Barbara Plank

  • NSL-MT: Linguistically Informed Negative Samples for Efficient Machine Translation in African Low-Resource Languages
    Mamadou K. KEITA, Christopher M Homan, Huy Le

  • EduMARS: Can Vision-Language Models Grade Like Teachers? Benchmarking Multimodal, Rubric-Based Assessment on Chinese K-12 Answers
    Xuan Zhao, Jiashun Chen, Wanting xu, Huiyuan Yan, Chaowei Fang, Xing Wei

  • MMR-GRPO: Accelerating GRPO-Style Training through Diversity-Aware Reward Reweighting
    Kangda Wei, Ruihong Huang

  • StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generation
    Qingyu Meng, Min Chen, Dingming Liu, Yifan Mo, Yue Su, Xin Sun, Koen Hindriks, Jiahuan Pei

  • Disambiguation-Centric Finetuning Makes Enterprise Tool-Calling LLMs More Realistic and Less Risky
    Ashutosh Hathidara, Julien Yu, Sebastian Schreiber

  • ToolGate: Contract-Grounded and Verified Tool Execution for LLMs
    Yanming Liu, Xinyue Peng, Jiannan Cao, Xinyi Wang, Songhang deng, Jintao Chen, Jianwei Yin, Xuhong Zhang

  • PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models
    Wenlong Shil, Jianxun Lian, Mingqi Wu, Haiming Qin, Mingyang Zhou, Xing Xie, Naipeng Chao, Hao Liao

  • Poller: Are LLMs Suitable for Evaluating Poetry Understanding Task?
    Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao

  • No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation
    Yufei Tao, Ameeta Agrawal

  • Prompting Test-Time Scaling Is A Strong LLM Reasoning Data Augmentation
    Sondos Bsharat, Zhiqiang Shen

  • GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning
    Kaiyuan Tian, Linbo Qiao, Yu Tang, Gongqingjian Jiang, Baihui Liu, Yifu Gao, Xialin Su, Dongsheng Li

  • ltzGLUE: Luxembourgish General Language Understanding Evaluation
    Alistair Plum, Felicia Körner, Anne-Marie Lutgen, Laura Bernardy, Fred Philippy, Emilia Milano, Nils Rehlinger, Cedric Lothritz, Tharindu Ranasinghe, Barbara Plank, Christoph Purschke

  • AdapThink: Adaptive Thinking Preferences for Reasoning Language Models
    Wenyue Xu, Xu Wan, Wei Wang, Wenqi Huang, Wotao Yin, Shengjie Zhao, Mingyang Sun

  • Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration
    Jucheng Shen, Gaurav Sarkar, Yeonju Ro, Sharath Nittur Sridhar, Zhangyang Wang, Aditya Akella, Souvik Kundu

  • Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection
    Zhiwei Liu, Yupeng Cao, Yuechen Jiang, Mohsinul Kabir, Polydoros Giannouris, Chen Xu, Ziyang Xu, Tianlei Zhu, Md. Tariquzzaman, Triantafillos Papadopoulos, Yan Wang, Lingfei Qian, Xueqing Peng, Zhuohan Xie, Ye Yuan, Saeed Almheiri, Abdulrazzaq Alnajjar, Ming-Bin Chen, Harry Stuart, Paul Thompson, Prayag Tiwari, Alejandro Lopez-Lira, Xue Liu, Jimin Huang, Sophia Ananiadou

  • MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation
    Xingchen Xiao, Heyan Huang, Runheng Liu, Jincheng Xie

  • Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval
    Junyoung Kim, Anton Korikov, Jiazhou Liang, Justin Cui, Yifan Simon Liu, Qianfeng Wen, Mark Zhao, Scott Sanner

  • Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs
    Tunazzina Islam

  • Self-Evolving Multi-Agent Systems via Textual Backpropagation
    Xiaowen Ma, Yunpu Ma, Chenyang Lin, Sikuan Yan, Jinhe Bi, Zixuan Cao, Yijun Tian, Volker Tresp, Hinrich Schuetze

  • Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning
    Zhenjiang Mao, Anirudhh Venkat, Artem Bisliouk, Sindhura Kumbakonam Subramanian, Akshat Kothiyal, Saithej Singhu, Ivan Ruchkin

  • Automated Profile Inference with Language Model Agents
    Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, Ninghui Li

  • When Debiasing Backfires: Counterintuitive Side Effects of Preprocessing-Based Stereotype Mitigation
    Yahan Zheng, John Guerrerio, Soroush Vosoughi, Weicheng Ma

  • Scaling Laws for Code: Every Programming Language Matters
    Jian Yang, Shuyue Guo, Linzheng Chai, Wei Zhang, Aishan Liu, Chuan Hao, Zhoujun Li, Xin Zhao, Xianglong Liu, Weifeng Lv, Bryan Dai

  • Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark Evaluation
    Wenbo Zhang, Hengrui Cai, Wenyu Chen

  • Safety Is Not Universal: The Selective Safety Trap in LLM Alignment
    Iago Alves Brito, Walcy Rios, Julia Soares Dollis, Diogo Fernandes Costa Silva, Arlindo Rodrigues Galvão Filho

  • LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
    Yuanchen Wu, Saurabh Verma, Justin Lee, Fangzhou Xiong, Poppy Zhang, Amel Awadelkarim, Xu Chen, Yubai Yuan, Shawndra Hill

  • FrameNet-Cultures: A Benchmark for Evaluating LLMs via Cross-Cultural Frame Semantics
    Neda Jamshidi, Anders Søgaard, Monica Bianchini

  • Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
    Sachin Kumar

  • Toward A Digital Twin of U.S. Congress
    Hayden Helm, Tianyi Chen, Harvey McGuinness, Paige Lee, Brandon Duderstadt, Carey Priebe

  • OjaKV: Context-Aware Online Low-Rank KV Cache Compression
    Yuxuan Zhu, David H. Yang, Mohammad Mohammadi Amiri, Keerthiram Murugesan, Tejaswini Pedapati, Pin-Yu Chen

  • AURORA: Neuro-Symbolic Continual Indexing for Evolving RAG Systems
    Manoj Saravanan, Rohit Kumar Salla, Ramya Manasa Amancherla

  • Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine
    Sebastian Joseph, Lily Chen, Barry Wei, Michael Mackert, Iain J. Marshall, Paul Pu Liang, Ramez Kouzy, Byron C. Wallace, Junyi Jessy Li

  • K-GIP: Diagnosing Logical Fractures in Large Vision-Language Models via Verification Scene Graphs and Sequential Pruning
    Yujun Hu, Xiaoyu Zhou, Changbo Wang, Gaoqi He

  • From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models
    Junlong Tong, Zilong Wang, YuJie Ren, Peiran Yin, Hao Wu, Wei Zhang, Xiaoyu Shen

  • How Adversarial Environments Mislead Agentic AI?
    Zhonghao Zhan, Huichi Zhou, Zhenhao Li, Peiyuan Jing, Krinos Li, Hamed Haddadi

  • GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-training
    Xie, Zhongwei

  • PII-VisBench: Evaluating Personally Identifiable Information Safety in Vision Language Models Along a Continuum of Visibility
    G M Shahariar, Zabir Al Nazi, Md Olid Hasan Bhuiyan, Zhouxing Shi

  • Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models
    Hengyuan Zhang, Zhihao Zhang, Ercong Nie, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schütze, Xuanjing Huang, Qi Zhang, Ngai Wong

  • MTRAG-UN: A Benchmark for Open Challenges in Multi-Turn RAG Conversations
    Sara Rosenthal, Yannis Katsis, Vraj Shah, Lihong Le, Lucian Popa, Marina Danilevsky

  • Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation Cues
    Zory Zhang, Pinyuan Feng, Bingyang Wang, Tianwei Zhao, Suyang Yu, Qingying Gao, Hokin Deng, Ziqiao Ma, Yijiang Li, Dezhi Luo

  • RepoShapley: Shapley-Enhanced Context Filtering for Repository-Level Code Completion
    Yu Huo, Kun Zeng, Siyu Zhang, Yuquan Lu, Cheng Yang, Yifu Guo, Xiaoying Tang

  • Red-Teaming NSFW Image Classifiers as Text-to-Image Safeguards
    Tinghao Xie, Yueqi Xie, Alireza Zareian, Shuming Hu, Felix Juefei-Xu, Xiaowen Lin, Ankit Jain, Prateek Mittal, Li Chen

  • Model-Agnostic Meta Learning for Class Imbalance Adaptation
    Hanshu Rao, Guangzeng Han, Xiaolei Huang

  • PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
    Yanjun Zhao, Tianxin Wei, Jiaru Zou, Xuying Ning, Yuanchen Bei, Lingjie Chen, Simmi Rana, Wendy H. Yang, Hanghang Tong, Jingrui He

  • From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAG
    Guanhua Chen, Chuyue Huang, Yutong Yao, Shudong Liu, Xueqing Song, Lidia S. Chao, Derek F. Wong

  • Region-R1: Reinforcing Query-Side Region Cropping for Multi-Modal Re-Ranking
    Chan-Wei Hu, Zhengzhong Tu

  • A Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning
    Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Zhan Shi, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin

  • LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose Models
    Nir Mazor, Tom Hope

  • Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests
    Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma

  • Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response Lengths
    Inderjeet Nair, Lu Wang

  • LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval
    Hang Wang, Utkarsh Garg, Reza Davari, Huitian Jiao, Hao Cheng, Baolin Peng, Si-Qing Chen, Tao Ge

  • NSF-CoT: Neuro-Symbolic Formal Verification of Chain-of-Thought Faithfulness in Contextual Question Answering
    Vishal Pramanik, Maisha Maliha, Nathaniel D. Bastian, Alvaro Velasquez, Susmit Jha, Sumit Kumar Jha

  • Learning Flexible Large Multimodal Models with Arbitrary Modality Combinations
    Xinyu Zhao, Kangqi Ni, Jie Peng, Ang Li, Tianlong Chen

  • 1,729 vs. १७२९: The Effect of Scripts and Formats on LLM Numeracy
    Varshini Reddy, Craig W Schmidt, Seth Ebner, Adam Wiemerslage, Yuval Pinter, Chris Tanner

  • SimpleOCR: Rendering Visual Questions to Teach MLLMs to Read
    Yibo Peng, Peng Xia, Ding Zhong, Kaide Zeng, Siwei Han, Yiyang Zhou, Jiaqi Liu, Ruiyi Zhang, Huaxiu Yao

  • Beyond Facts- Benchmarking Distributional Reading Comprehension in Large Language Models
    Pei-Fu Guo, Ya An Tsai, Chun-Chia Hsu, Kai-Xin Chen, Yun-Da Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin

  • Preference Learning Unlocks LLMs’ Psycho-Counseling Skills
    Mian Zhang, Shaun M. Eack, Zhiyu Chen

  • Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
    Jun Zhuang, Chaowen Guan

  • Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows
    Haoyu Dong, Pengkun Zhang, Yan Gao, Xuanyu Dong, Yilin Cheng, Mingzhe Lu, Zikun Zhu, Adina Yakefu, Shuxin Zheng

  • Exploiting Tree Structure for Credit Assignment in Reinforcement Learning with Large Language Models
    Hieu Tran, Zonghai Yao, Hong Yu

  • Demystify the Role of Memory in Machine Learning Engineering Agents
    Xinyu Zhao, Junpeng Wang, Yuzhong Chen, Menghai Pan, Chin-Chia Michael Yeh, Jiarui Sun, Yan Zheng, Mahashweta Das, Tianlong Chen

  • Characterizing Web Search in The Age of Generative AI
    Elisabeth Kirsten, Jost Große Perdekamp, Qinyuan Wu, Mihir Upadhyay, Krishna P. Gummadi, Muhammad Bilal Zafar

  • HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering
    Yuyu Liu, Sarang Rajendra Patil, Mengjia Xu, Tengfei Ma

  • What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models
    Dasol Choi, Guijin Son, Hanwool Lee, Minhyuk Kim, Hyunwoo Ko, Teabin Lim, Eungyeol Ahn, Jungwhan Kim, Seunghyeok Hong, Youngsook Song

  • Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection
    Quy-Anh Dang, Chris Ngo

  • From Bytes to Subwords: Challenges of Input Representations in NLP
    Rob van der Goot

  • The Learnability of Model-Theoretic Interpretation Functions in Artificial Neural Networks
    Adrian Brasoveanu, Jakub Dotlacil

  • A Mechanistic Perspective and Difficulty Metric for Unlearning
    Jiali Cheng, Ziheng Chen, Chirag Agarwal, Hadi Amiri

  • UCS: Estimating Unseen Coverage for Improved In-Context Learning
    Jiayi Xin, Xiang Li, Evan Qiang, Weiqing He, Tianqi Shang, Weijie J. Su, Qi Long

  • Talent or Luck? Evaluating Attribution Bias in Large Language Models
    Chahat Raj, Mahika Banerjee, Jinhao Pan, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu

  • Uncertainty Quantification of Large Language Models through Multiple Uncertainty Sources
    Tiejin Chen, Xiaoou Liu, Longchao Da, Jia Chen, Evangelos E. Papalexakis, Hua Wei

  • Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents
    Xubo Lin, Zezhi Deng, Shihao Wang, Grace Hui Yang, Yang Deng

  • [b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic
    Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho, David Harwath, David R. Mortensen

  • Waking Up Blind: Cold-Start Optimization of Supervision-Free Agentic Trajectories for Grounded Visual Perception
    Ashutosh Bajpai, Tamal Majumder, Akshay Nambi, Tanmoy Chakraborty

  • Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions
    Dazhou Yu, Riyang Bao, Ruiyu Ning, Jinghong Peng, Gengchen Mai, Liang Zhao

  • Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics
    Khang Tran, Khoa Nguyen, Cristian Borcea, Hai Phan

  • Reasoning for Hierarchical Text Classification: The Case of Patents
    Lekang Jiang, Wenjun Sun, Stefan Goetz

  • From Shijing to English and German: Resources and Evaluation for LLM Translation of Early Chinese Poetry
    Ying Jiao, Meng Sun

  • One Mask to Rule Them All: On Hidden Facts after Editing and How to Find Them
    Ali Holmov, Paul Youssef, Nandi Schoots, Christin Seifert

  • Analysing the Safety Pitfalls of Steering Vectors
    Yuxiao Li, Alina Fastowski, Efstratios Zaradoukas, Bardh Prenkaj, Gjergji Kasneci

  • Compartmentalised Agentic Reasoning for Clinical NLI
    Mael Jullien, Andre Freitas, Marco Valentino, Lei Xu

  • RAG or Learning? Understanding the Limits of LLM Adaptation under Continuous Knowledge Drift in the Real World
    Hanbing Liu, Lang Cao, Yang Li

  • Content Fuzzing for Escaping Information Coccons on Digital Social Media
    Yifeng He, Ziye Tang, Hao Chen

  • KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language Models
    Xiao Zhang, Qianru Meng, Yongjian Chen, Yumeng Wang, Johan Bos

  • Hybrid Self-evolving Structured Memory for Computer-Use Agents
    Sibo Zhu, Wenyi Wu, Kun Zhou, Stephen Wang, Biwei Huang

  • Characterizing Selective Refusal Bias in Large Language Models
    Adel Khorramrouz, Sharon Levy

  • Infusing Theory of Mind into Socially Intelligent LLM Agents
    EunJeong Hwang, Yuwei Yin, Giuseppe Carenini, Peter West, Vered Shwartz

  • Do BabyLMs Wanna Learn Wanna Contraction? On the Learnability without Language-Specific Bias
    Kangsan Noh, Sanghoun Song

  • OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation
    Hanning Zhang, Juntong Song, Juno Zhu, Yuanhao Wu, Tong Zhang, Cheng Niu

  • Understanding LLMs’ summarization capabilities: an analysis of biomedical abstract and lay summary generation
    Batuhan Nursal, Cassie S. Mitchell

  • FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation
    Liqiang Jing, Viet Lai, Seunghyun Yoon, Trung Bui, Xinya Du

  • RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
    Kaiqu Liang, Haimin Hu, Ryan Liu, Thomas L. Griffiths, Jaime Fernández Fisac

  • Propaganda Signals in LLMs: Perspectival Divergence and Narrative Framing in the Russia-Ukraine War
    Ofir Shabat, Ido Guy, Kira Radinsky

  • DELTA: Dynamic Layer-Aware Token Attention for Efficient Long-Context Reasoning
    Hossein Entezari Zarch, Lei Gao, Chaoyi Jiang, Murali Annavaram

  • LANTERN in the Event Stream: Training-Free Temporal Knowledge Graph Forecasting by Balancing Inertia and Shifts
    Chengyuan Jin, Ao Chang, Daojian Zeng, Wenhao Teng, Xiangwen Liao, Kang Liu, Jun Zhao, Yubo Chen

  • Large Language Models for IT Automation Tasks: Are We There Yet?
    Md. Mahadi Hassan, John Salvador, Akond Ashfaque Ur Rahman, Santu Karmaker

  • Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model Factuality
    Mike Zhang, Johannes Bjerva, Russa Biswas

  • Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback
    Yiyuan Yang, Zichuan Liu, Lei Song, Kai Ying, Stephen Wang, Joshua Thomas Bamford, Svitlana Vyetrenko, Jiang Bian, Qingsong Wen

  • Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification
    Qian Ma, Qiong Wu, Zhengyi Zhou, Yao Ma

  • Non-invasive electromyographic speech neuroprosthesis: a geometric perspective
    Harshavardhana T. Gowda, Lee M. Miller

  • Context Attribution with Multi-Armed Bandit Optimization
    Deng Pan, Keerthiram Murugesan, Ting Hua, Nuno Moniz, Nitesh V. Chawla

  • Peering Behind the Shield: Guardrail Identification in Large Language Models
    Ziqing Yang, Yixin Wu, Rui Wen, Michael Backes, Yang Zhang

  • WildSci: Advancing Scientific Reasoning from In-the-Wild Literature
    Tengxiao Liu, Deepak Nathani, Zekun Li, Kevin Yang, William Yang Wang

  • WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks
    Jingbo Yang, Bairu Hou, Wei Wei, Shiyu Chang, Yujia Bao

  • Like a Therapist, But Not: Reddit Narratives of AI in Mental Health Contexts
    Elham Aghakhani, Rezvaneh Rezapour

  • VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and Extrapolation
    Puyuan Peng, Zhisheng Zheng, Shang-Wen Li, Abdelrahman Mohamed, David Harwath

  • Evaluating Implicit Biases in LLM Reasoning through Logic Grid Puzzles
    Fatima Jahara, Mark Dredze, Sharon Levy

  • InferPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
    Yixin Wu, Rui Wen, Chi Cui, Michael Backes, Yang Zhang

  • MedErrBench: A Fine-Grained Multilingual Benchmark for Medical Error Detection and Correction with Clinical Expert Annotations
    Congbo Ma, Yichun Zhang, Yousef Al-Jazzazi, Ahamed Foisal, Laasya Sharma, Yousra Sadqi, Khaled Saleh, Jihad Mallat, Farah E. Shamout

  • MetaScale: Test-Time Scaling with Evolving Meta-Thoughts
    Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen

  • Arab Voices: Mapping Standard and Dialectal Arabic Speech Technology
    Peter Sullivan, AbdelRahim A. Elmadany, Alcides Alcoba Inciarte, Muhammad Abdul-Mageed

  • CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations
    JinWei Shi, Qizhuo Xie, Qianzi Hou, Zhipeng Wang, Wanting Su, Jianhua Zhao, Tao Zheng, Tieke He

  • CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification
    Yian Wang, Yuen Chen, Agam Goyal, Hari Sundaram

  • Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding
    Zijie Wang, MohammadHossein Rezaei, Farzana Rashid, Eduardo Blanco

  • P-QuASAR: A Unified Probabilistic Framework for Holistic Patent Quality Assessment and Refinement
    Xinyuan Song, Ziyi Ni, Fred Yang, Bo Zhang, Yijin Wang, Jane Zhang

  • From Heard to Lived Opinions: Simulating Opinion Dynamics with Grounded LLM Agents in Economic Environments
    Ryuji Hashimoto, Masahiro Kaneko, Ryosuke Takata, Takehiro Takayanagi, Kiyoshi Izumi

  • HiSA: Hierarchical State Abstraction for Scalable GUI Agents
    Weiming Li, Hye-young Paik, Yulei Sui

  • SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents
    Zonghao Ying, Yangguang Shao, Jianle Gan, Gan Xu, Wenxin Zhang, Quanchen Zou, Junzheng Shi, Zhenfei Yin, Mingchuan Zhang, Aishan Liu, Xianglong Liu

  • The Mechanics of Interference: Defusing Distractors in RAG via Sparse Autoencoder Interventions
    Christian Giannetti, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri, Pietro Liò

  • Grounding Agent Memory in Contextual Intent
    Ruozhen Yang, Yucheng Jiang, Yueqi Jiang, Priyanka Kargupta, Yunyi Zhang, Jiawei Han

  • Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning
    Saloni Dash, Amélie Redmond, Emma Spiro, Aylin Caliskan

  • Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment
    Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xinyun Liu, Yulia Tsvetkov

  • Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation
    Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahibaarzi, Hejian Sang, Shao Tang, Qingquan Song, Zhipeng Wang, Muhammad Abdul-Mageed

  • Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models
    Hanqi Yan, Xiangxiang Cui, Lu Yin, Jindong Gu, Paul Pu Liang, Yulan He, Yifei Wang

  • Data Swarms: Optimizable Generation of Synthetic Evaluation Data
    Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov

  • Concept rather than Document: Context Compression via AMR-based Conceptual Entropy
    Kaize Shi, Xueyao Sun, Xiaohui Tao, Lin Li, Qika Lin, Guandong Xu

  • Can LLMs Understand the Impact of Trauma? Costs and Benefits of LLMs Coding the Interviews of Firearm Violence Survivors
    Jessica H Zhu, Shayla Stringfield, Vahe Zaprosyan, Michael Wagner, Michel Cukier, Joseph Richardson

  • “I Don’t Know What to Say”: A Fact-Filling Questionnaire Method to Help Non-Experts Talk to LegalAI Assistant
    Yuting Huang, Yiquan Wu, Meitong Guo, Ang Li, Xiaozhong Liu, Keting Yin, Fei Wu, Kun Kuang

  • BnMMLU: Measuring Massive Multitask Language Understanding in Bengali
    Saman Sarker Joy, Swakkhar Shatabda

  • Diagnosing LLMs via Information Spectrum Analysis: Tail Behavior and the Effects of Side Information
    Yuuki Tachioka

  • Scaling Collaborative Effort with Agents
    Shannon Shen, Valerie Chen, Ken Gu, Alexis Ross, Zixian Ma, Jillian Ross, Alex Gu, Chenglei Si, Wayne Chi, Andi Peng, Jocelyn Shen, Ameet Talwalkar, Sherry Wu, David Sontag

  • CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic
    Yaocheng Zhang, Haohuan Huang, Zijun Song, Zijie Zhao, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao

  • Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale
    Canran WANG, Yuwen Yang, Zhen Wang, Ming MA, Ding Yu, Chentai Wang, Keman Huang, Xiaoyong Du

  • IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation
    Hossein Hosseini Kasnavieh, Gholamreza Haffari, Christopher Leckie, Adel N. Toosi

  • A Herd of Language Models Makes a Better Zero-shot Annotator for Clinical Named Entity Recognition
    Seiji Shimizu, Shoko Wakamiya, Eiji Aramaki

  • P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
    Shuai Zhao, Xinyi Wu, Shiqian Zhao, Xiaobao Wu, Zhongliang Guo, Yanhao Jia, Anh Tuan Luu

  • Learning Temporally-Aware Sample Weights for Preference Optimization
    Mengyang Li, Xudong Zhou, Pinlong Zhao

  • ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents
    Dawei Li, Yuguang Yao, Zhen Tan, Huan Liu, Ruocheng Guo

  • Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning
    Yiming Huang, Zhenbo Shi, Shuzheng Gao, Cuiyun Gao, Peiyi Han, Chuanyi Liu

  • LEAF: Towards Lightweight Explainable Hateful Video Detection via Self-Grounding CoT Guided Stage-Wise Distillation
    Jian Lang, Rongpei Hong, Meihui Zhong, Kaiju Li, Ting Zhong, Qiang Gao, Fan Zhou

  • DemMA: Dementia Multi-Turn Dialogue Agent with Expert-Guided Reasoning and Action Simulation
    Yutong Song, Jiang Wu, Kazi Shaharair Sharif, Pengfei Zhang, Wenjun Huang, Honghui Xu, Nikil Dutt, Amir M. Rahmani

  • SplitThenMerge: Token-Level Skill-Compositional Sparse Mixture-of-Experts for Complex Domain-Specific Tasks
    Yuting Huang, Jiawen Zhang, Yiquan Wu, Yinghao Hu, Fei Wu, Kun Kuang

  • Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain Construction
    Su Lan, Xuefei Yin, Yanming Zhu, Alan Wee-Chung Liew

  • RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings
    Wei Han, David Martinez Iraola, Anna Khanina, Lawrence Cavedon, Karin Verspoor

  • Watch Out Your Industrial Copilots: Stealthy Backdoor Attack Against LLM-Based PLC Code Generation
    Xinyuan An, Liu Xiaoxia, Dongxia Wang, Zhanhang Xiong, Wenhai Wang

  • Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning
    Duygu Nur Yaldiz, Evangelia Spiliopoulou, Zheng Qi, Siddharth Varia, Srikanth Doss, Nikolaos Pappas

  • Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies
    Qianen Zhang, Zeyu Yang, Satoshi Nakamura

  • ChunQiuTR: Time-Keyed Temporal Retrieval in Classical Chinese Annals
    Yihao Wang, Zijian He, Jie Ren, Keze Wang

  • OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
    Hao Zheng, Zirui Pang, Ling Li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei

  • PedagogyBench: A Cognitive-Driven Benchmark for Multimodal Instructional Video Understanding
    Xiaokang Jin, Jia Zhu, Jingjiang Liu, Yabing Shi, Jueqi Guan, Hao Chen, Pasquale De Meo

  • FeedEval: Pedagogically Aligned Evaluation of LLM-Generated Essay Feedback
    Seongyeub Chu, Jongwoo Kim, Munyong Yi

  • Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation
    Jen-tse Huang, Chang Chen, Shiyang Lai, Wenxuan Wang, Michelle R Kaufman, Mark Dredze

  • Emotion–Cause Pair Extraction in Conversations via Semantic Decoupling and Alignment
    Tianxiang Ma, Weijie Feng, Xinyu Wang, Zhiyong Cheng

  • Failure makes the agent stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions
    Junhao Su, Yuanliang Wan, Junwei Yang, Hengyu Shi, Tianyang Han, Yurui Qiu, Junfeng Luo

  • Feedback to Reasoning: LLM-Assisted Molecular Optimization with Domain Feedback and Historical Reasoning
    Wenhan Gao, Xiran Fan, Chin-Chia Michael Yeh, Jiarui Sun, Yuzhong Chen, Menghai Pan, Mahashweta Das, Yi Liu

  • Iterative Formalization and Planning in Partially Observable Environments
    Liancheng Gong, Wang Bill Zhu, Jesse Thomason, Li Zhang

  • StructKV: Preserving the Structural Skeleton for Scalable Long-Context Inference
    Zhirui Chen, Peiyang Liu, Ling Shao

  • Correct, Concise and Complete: Multi-stage Training For Adaptive Reasoning
    Nathanaël Carraz Rakotonirina, Ren Pang, Neha Anna John, Michael Bohlke-Schneider, Momchil Hardalov

  • At Your Own PACE: A Causal Framework for Evaluating EQ in LLMs
    Lei Lyu, Shengling Wang, Ke Chao, Yichao Wei

  • Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System Design
    Zhilun Zhou, Zihan Liu, Jiahe Liu, Yihan Wang, Qingyu Shao, Fengli Xu, Depeng Jin, Yong Li

  • Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
    Hao Ban, Kaiyi Ji

  • Shorten After You’re Right: Lazy Length Penalties for Reasoning RL
    Danlong Yuan, Tian Xie, Shaohan Huang, Huishuai Zhang, Zhuocheng Gong, Chong Luo, Furu Wei, Dongyan Zhao

  • MedDCR: Learning to Design Agentic Workflows for Medical Coding
    Jiyang Zheng, Islam Nassar, Thanh Vu, Xu Zhong, Yang Lin, Tongliang Liu, Long Duong, Yuan-Fang Li

  • TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMs
    Xiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao, Xiaosong Yuan, Jiawei Cao, Xuhang Chen

  • Beyond Screenshots: Evaluating VLMs’ Understanding of UI Animations
    Chen Liang, Xirui Jiang, Naihao Deng, Eytan Adar, Anhong Guo

  • MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning
    Juexiang Ye, Xue Li, Xinyu Yang, Chengkai Huang, Lanshun Nie, Lina Yao, Dechen Zhan

  • From Mimesis to Metamorphosis: Evolving VLM Judges via In-Context Comparing and Knowledge Internalization
    Juntuo Wang, Yuming Qiao, Yifan Yang, Lunxi Yuan, Liang Luo, Dan Meng

  • Generative Text-to-Image Retrieval via Hierarchical Identifiers and Semantic Internalization
    Jie Huang, Junjie Wang, Xin Liao, Ziyou Jiang, Wenshuo Wang, Shoubin Li, Qing Wang

  • Bridging Reasoning and Action: Hybrid LLM–RL Framework for Efficient Cross-Domain Task-Oriented Dialogue
    Yangyang Zhao, Linfan Dai, Li Cai, Bowen Xing, Libo Qin

  • JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation
    Zhichao Shi, Xuhui Jiang, Chengjin Xu, Cangli Yao, Shengjie Ma, Yinghan Shen, Zixuan Li, Jian Guo, Yuanzhuo Wang

  • Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
    Taehee Kim, Seungbin Yang, Jihwan Kim, Jaegul Choo

  • Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers
    Qingcheng Zeng, Yuheng Lu, Zeqi Zhou, Heli Qi, Puxuan Yu, Fuheng Zhao, Hitomi Yanaka, Weihao Xuan, Naoto Yokoya

  • WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent
    Lingfeng Zhang, Yongan Sun, Jinpeng Hu, Hui Ma, Ying Yang, Kuien Liu, Zenglin Shi, Meng Wang

  • Multi-Faceted Self-Consistent Preference Alignment for Query Rewriting in Conversational Search
    Zhiyu Cao, Peifeng Li, Qiaoming Zhu

  • CogNet-KG: Empowering Tutoring Dialogues with a Cognitively-Structured Knowledge Graph for STEM Learning
    Ding Yu, Yu Lu, Tengju Li, Shasha Xiong, Shengquan Yu

  • From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models
    Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro

  • A Few Bad Apples Spoil the Bunch: Preventing Global Entropy Collapse Driven by a Small Set of Tokens in LLM Reasoning
    Jaeeun Jang, Hansle Lee, Sangmin Kim

  • Efficient Training for Cross-lingual Speech Language Models
    Yan Zhou, Qingkai Fang, Yun Hong, Yang Feng

  • Empirical Analysis of Task Mixture Effects in Small-scale Instruction Tuning: A Statistical Approach
    Jeesu Jung, Sangkeun Jung

  • ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
    Yujie Liu, Zonglin Yang, Tong Xie, Jinjie Ni, Ben Gao, Yuqiang Li, Shixiang Tang, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

  • GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation
    Lin Mu, Guoji Wang, Li Ni, Lei Sang, Zhize Wu, Peiquan Jin, Yiwen Zhang

  • Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation
    Yebo Wu, Han Jin, Zhijiang Guo, Li Li

  • StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding
    Junxi Wang, Te Sun, Jiayi Zhu, Junxian Li, Haowen Xu, Zichen Wen, Xuming Hu, Zhiyu li, Linfeng Zhang

  • Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented Generation
    Haiyan Wu, Chenchen Wang, Chaoqun Sun, Chengxiong Lu, Yan-Hong Chen, Zhiqiang Zhang, Xiaoqing Feng

  • Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models
    Yuan Sui, Yufei He, Tri Cao, Sophia Simeng Han, Yulin Chen, Bryan Hooi

  • Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions
    Wenhao Zhang, Lin Mu, Li Ni, Peiquan Jin, Yiwen Zhang

  • Efficient Test-Time Scaling via Temporal Reasoning Aggregation
    jiakun Li, Xingwei He, Kefan Li, Hongzheng Chai, Hongyue Yu, Yuan Yuan

  • A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends
    Yihao Ding, Siwen Luo, Yue Dai, Yanbei Jiang, Zechuan Li, Qiang Sun, Geoffrey Martin, Wei Liu, Yifan Peng

  • Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language Models
    Rei Minamoto, Yusuke Oda, Daisuke Kawahara

  • Agentic Episodic Control
    Xidong Yang, Wenhao Li, Junjie Sheng, Yun Hua, Haosheng Chen, Chuyun Shen, Xiangfeng Wang

  • TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense
    Cheng LIU, Xiaolei Liu, Xingyu Li, Bangzhou Xin, Kangyi Ding

  • DeepPrune: Parallel Scaling without Inter-trace Redundancy
    Shangqing Tu, Yaxuan Li, Yushi Bai, Lei Hou, Juanzi Li

  • Contrastive Decoding Mitigates Score Range Bias in LLM-as-a-Judge
    Yoshinari Fujinuma

  • ContextCheck: Sentence-Level Faithfulness Verification with Context-Aware Disambiguation
    Yueqin Yin, Yaxi Li, Xin Liu, Xun Wang, Kaiqiang Song, Simin Ma, Shujian Liu, Sathish Reddy Indurthi, Haoyun Deng, Pengcheng He, Mingyuan Zhou, Song Wang

  • Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification
    Yiju Guo, Tianyi Hu, Zexu Sun, Yankai Lin

  • MAST: A Multi-View Alignment Strategy for Optimal Transport-Based Contrastive Clustering of Short Text
    Zijian Zheng, Yonghe Lu

  • AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis
    Dong She, Xianrong Yao, Liqun Chen, Jinghe Yu, Yang Gao, Zhanpeng Jin

  • You Only Need One Single Token to Refine Safety Alignment
    Wenqian Yu, Shuo Chen, Zhijiang Li, Zhipeng Wang, Jindong Gu

  • CrisPrune: Combining Contextual Relevance and Intrinsic Saliency for Efficient Visual Token Pruning in MLLMs
    Ziniu Liu, Shuheng Zhou, Mingqing Liu, Hao Deng, Huijia Zhu

  • Beyond Topology: Generative Node Importance Estimation via Structure-Guided Semantic Reasoning
    Kuofei Fang, Siyan WuGuo Yu Bin Wu

  • AGTᴬᴼ: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality
    Pengyu Li, Lingling Zhang, Zhitao Gao, Yanrui Wu, Yuxuan Dong, Huan Liu, Bifan Wei, Jun Liu

  • LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval
    Zhibo Zhang, Yang Xu, Kai Ming Ting, Cam-Tu Nguyen

  • BOLT: Benchmarking Open-World Learning for Text Classification
    Chuan Qin, Xi Chen, Jinpeng Li, Hengshu Zhu

  • MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment
    Qinzhuo Wu, Zhizhuo Yang, Hanhao Li, Pengzhi Gao, Wei Liu, Jian Luan

  • CondenseFlow: Scalable Latent Space Collaboration via Semantic Compression for Multi-Agent Systems
    Xiaoyu Chen, Fengge Wu, Zhao Junsuo, Yun Fan

  • MAXS: Meta-Adaptive Exploration with LLM Agents
    Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Yu He, Haoran Luo, Li Yuan, Lingling Zhang, Rui Mao, Qika Lin, Jun Liu

  • Leveraging Human and Machine Preferences for Zero-shot Detection of AI-Generated Text
    Lei Jiang, Desheng Wu, Xiaolong Zheng, Cuicui Luo

  • MelTrim: Coarse-to-Fine Data Pruning for Speech Classification
    Shaobo Wang, Tianle Niu, Xuan Ouyang, Xintong Li, Zhengkun Ge, Yue Min, Xiaoqian Liu, Hankun Wang, Linfeng Zhang

  • MINED: Probing and Updating with Multimodal Time-Sensitive Knowledge for Large Multimodal Models
    Kailin Jiang, Ning Jiang, Yuntao Du, Yuchen Ren, Yuchen Li, Yifan Gao, Jinhe Bi, Yunpu Ma, Bin Li, Lei Liu, Qing Li

  • Beyond Output Confidence: Epistemic-Aware Hallucination Detection with Answer-Level Signals
    Jieran Li, Xiuyuan Hu, Yang Zhao, Dongbiao Sun, Hao Zhang

  • PerfCoder: Large Language Models for Interpretable Code Performance Optimization
    Jiuding Yang, Shengyao Lu, Hongxuan Liu, Shayan Shirahmad Gale Bagi, Zahra Fazel, Tomasz Czajkowski, Di Niu

  • MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining
    Phung Gia Huy, Hai An Vu, Minh-Phuc Truong, Thang Duc Tran, Linh Ngo Van, Thanh Hong Nguyen, Trung Le

  • Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction
    Zhenmei Shi, Yifei Ming, Xuan-Phi Nguyen, Yingyu Liang, Shafiq Joty

  • Self-Reflection Improves Safety of Large Reasoning Models
    Qiang Huang, Wei Zhai, Feng Huang, Dejing Dou

  • WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
    Pengyu Wang, Benfeng Xu, Licheng Zhang, Shaohan Wang, Mingxuan Du, Chiwei Zhu, Zhendong Mao

  • CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM Agents
    Zijing Zhang, Xiajie Yang

  • D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents
    Hongze Mi, Yibo Feng, WenJie Lu, Yuqi Wang, Jinyuan Li, Song Cao, He Cui, Tengfei Tian, Xuelin Zhang, Haotian Luo, Di Sun, Jun Fang, Hua Chai, Naiqiang Tan, Gang Pan

  • Temporal Flattening in LLM-Generated Text: Comparing Human and LLM Writing Trajectories
    Zhanwei Cao, YeoJin Go, Yifan Hu, Shanu Sushmita

  • Beyond Superficial Tests: Adversarial Refinement for Reliable Property-Based Testing
    Xiao Li, Runlin Liu, Zhe Zhang, Xiang Gao, Hailong Sun

  • FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness
    Xiaoning Dong, Chengyan Wu, Yajie Wen, Yu Chen, Yun Xue, Zhang Jing, Wei Xu, Bolei Ma

  • DRA-GRPO: Your GRPO Needs to Know Diverse Reasoning Paths for Mathematical Reasoning
    Xiwen Chen, Wenhui Zhu, Peijie Qiu, Xuanzhao Dong, Hao Wang, Haiyu Wu, Huayu Li, Aris Sotiras, Yalin Wang, Abolfazl Razi

  • Web Fraud Attacks Against LLM-Driven Multi-Agent Systems
    Dezhang Kong, Hujin Peng, Yilun Zhang, Lele Zhao, Zhenhua Xu, Shi Lin, Changting Lin, Meng Han

  • From Query to Logic: Ontology-Driven Multi-Hop Reasoning in LLMs
    Haonan Bian, Yutao Qi, Rui Yang, Yuanxi Che, Jiaqian Wang, Heming Xia, Ranran Zhen

  • AudioStealer: Extracting Audio Prompts via Shapley Value-Guided Query Search
    Yingbin Jin, Xingjian Du, Hanjun Luo, Zihao Wang, Haibo Hu, XiaoFeng Wang, Xinfeng Li

  • FaithLens: Detecting and Explaining Faithfulness Hallucination
    Shuzheng Si, Qingyi Wang, Haozhe Zhao, Yuzhuo Bai, Guanqiao Chen, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun

  • Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization Modeling
    Wantong Xie, Yinghao Chen, Yi-Xiang Hu, Feng Wu, Jieyang Xu, Sijia Zhang, Xiangyang Li

  • Toward Automated Robustness Evaluation of Mathematical Reasoning
    Yutao Hou, Zeguan Xiao, Fei Yu, Yihan Jiang, Ma Shuguang, Zhaoqian Dai, Hailiang Huang, Yun Chen, Guanhua Chen

  • Simulating Crisis Cognition: A Computational Framework for Hypothesis Generation in Crisis Communication
    Changsen Yuan, Yanghao Zhou, Chong Feng, Ge Shi

  • MedScore: Generalizable Factuality Evaluation of Open-ended Long-form Medical Answers by Domain-adapted Claim Decomposition and Verification
    Heyuan Huang, Alexandra DeLucia, Vijay Murari Tiyyala, Mark Dredze

  • FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios
    Yutao Hou, Yihan Jiang, Yuhan Xie, Jian Yang, Liwen Zhang, Hailiang Huang, Guanhua Chen, Yun Chen

  • Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
    Yuxuan Hu, Jianchao Tan, Jiaqi Zhang, Wen Zan, Pingwei SUN, Yifan Lu, Xunliang Cai, Jing Zhang

  • BRIEF-Pro: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning
    Jia-Chen Gu, Junyi Zhang, Di Wu, Yuankai Li, Kai-Wei Chang, Nanyun Peng

  • O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
    Haotian Luo, Haiying He, Yibo Wang, Shiwei Liu, Wei Li, Xiaochun Cao, Dacheng Tao, Naiqiang Tan, Li Shen

  • One Agent to Serve All: a Lite-Adaptive Stylized AI Assistant for Millions of Multi-Style Official Accounts
    Xingyu Fan, Li Feifei, Que Wenhui, Hailong Li

  • SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution
    Xiachong Feng, Yi Jiang, Xiaocheng Feng, Deyi Yin, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Yuxuan Gu, Chonghan Qin, Bing Qin, Lingpeng Kong

  • Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation
    Rui Qi, Fengran Mo, Yufeng Chen, Xue Zhang, Shuo Wang, Hongliang Li, Xu Jinan, Meng Jiang, Jian-Yun Nie, Kaiyu Huang

  • Article and Comment Frames Shape the Quality of Online Comments
    Matteo Guida, Yulia Otmakhova, Eduard Hovy, Lea Frermann

  • LAD: Learning Advantage Distribution for Reasoning
    Wendi Li, Sharon Li

  • RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction
    Haonan Bian, Zhiyuan Yao, Sen Hu, Zishan Xu, Shaolei Zhang, Yifu Guo, Ziliang Yang, Xueran Han, Huacan Wang, Ronghao Chen

  • AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce
    Biao Zhang, Lixin Chen, Bin Zhang, WANG Zongwei, Tong Liu, Bo Zheng

  • SAFER: A Controllable Safeguard for LLMs against Backdoor Attacks
    Zirui Hu, Zheng Zhang, Yingjie Wang, Dacheng Tao

  • RIFT: Repurposing Negative Samples via Reward-Informed Fine-Tuning
    Zehua Liu, Shuqi LIU, Tao Zhong, Mingxuan Yuan

  • LEPO: Latent Reasoning Policy Optimization for Large Language Models
    Yuyan Zhou, Jiarui Yu, Hande Dong, Zhezheng Hao, Hong Wang, Jianqing Zhang, Qiang Lin

  • You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations
    Hongbin Na, Zimu Wang, Zhaoming Chen, Peilin Zhou, Yining Hua, Grace Ziqi Zhou, Haiyang Zhang, Tao Shen, Wei Wang, John Torous, Shaoxiong Ji, Ling Chen

  • Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models
    Qiyuan Zhang, Yufei Wang, Tianhe Wu, Can Xu, Qingfeng Sun, Kai Zheng, Xue Liu, Chen Ma

  • Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation
    Yupu Hao, Zhuoran Jin, Huanxuan Liao, Kang Liu, Jun Zhao

  • Efficient Transformer Parameter Reuse via Zero-Token Mechanism
    Guanghao Li, Wenhao Jiang, Li Shen, Ming Tang, Chun Yuan

  • x1: Learning to Think Adaptively Across Languages and Cultures
    Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Yichong Huang, Zekun Yuan, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Dandan Tu, Bing Qin

  • Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms
    Zeguan Xiao, Yun Chen, Jian Yang, Guanhua Chen, Ke Tang

  • FABLE: Fine-grained Fact Anchoring for Unstructured Model Editing
    Peng Wang, Biyu Zhou, Xuehai Tang, Jizhong Han, Songlin Hu

  • SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures
    Jiaming wang, Zhe Tang, Zehao Jin, Hefei Chen, Yilin Jin, Peng Ding, Xiaoyu Li, Xuezhi Cao

  • MalURLBench: A Benchmark Evaluating Agents’ Vulnerabilities When Processing Web URLs
    Dezhang Kong, Zhuxi Wu, Shiqi Liu, ZhiCheng Tan, Kuichen Lu, Minghao Li, Qichen Liu, Shengyu Chu, Zhenhua Xu, Xuan Liu, Meng Han

  • Representation-Guided Parameter-Efficient LLM Unlearning
    Zeguan Xiao, Lang Mo, Yun Chen, Lei Yang, Jiehui Zhao, Lili Yang, Guanhua Chen

  • LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization
    Jiaqi Tang, Yu Xia, Yi-Feng Wu, Yuwei Hu, Chen Yuhui, Qing-Guo Chen, Xiaogang Xu, Xiangyu Wu, Hao LU, Yanqing Ma, Shiyin Lu, Qifeng Chen

  • Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent Adaptation
    Xuanbo Su, Yingfang Zhang, Hao Luo, XiaotengLiu, Leo Huang

  • Large-Scale Multimodal Knowledge Graph about Classical Chinese Poetry: Fine-grained Method and Comprehensive Evaluation
    Shuo Wang, Qing Zhu, Yang Xiao, Minglong Lei

  • MultiCodeAttack: Iterative Jailbreak Attacking on LLMs with Multi-Code Prompt Injection
    Weifeng Sun, Meng Yan, Zhou Yang, Yuchen Chen, Song Sun, David Lo

  • SAMem: State-Aware Memory as a Fine-Grained Memory for LLM Agents in Decision-Making
    Tong Wang, Pei Xu, Shiyue Cao, Likun Yang, Daipeng Li, Jianbin Jiao, Kaiqi Huang

  • Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution
    Kui Liu, Mingming Yin, Zuoli Tang, Zihao Li, Chilin Fu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li

  • How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization
    Yangyi Fang, Jiaye Lin, Xiaoliang Fu, Cong Qin, Haolin Shi, Chaowen Hu, Lu Pan, Ke Zeng, Xunliang Cai

  • Meeseeks: A Feedback-Driven, Iterative Self-Correction Benchmark evaluating LLMs’ Instruction Following Capability
    Jiaming wang, Yunke Zhao, Peng Ding, Jun Kuang, Yibin Shen, Zhe Tang, Yilin Jin, ZongYu Wang, Xiaoyu Li, Xuezhi Cao

  • HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
    Guorui Li, Dugang Liu, Lei Li, Xing Tang, Zhong Ming

  • AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models
    Yixu Wang, Xin Wang, Yang Yao, Xinyuan Li, Xibang Yang, Yan Teng, Xingjun Ma, Yingchun Wang

  • AlphaEdit+: Model Editing in the Presence of Conflicting and Inconsistent Knowledge
    Qing Liu, Jianhao Zhang, Ou Wu, Michael K. Ng, Yi Du

  • Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models
    Ziyao Tang, Pengkun Jiao, Bin Zhu, Huiyan Qi, Jingjing Chen, Yu-Gang Jiang

  • FreeChunker: A Cross-Granularity Chunking Framework
    Zhang Wenxuan, Yuan-Hao Jiang, Yang Cao, Yonghe Wu

  • Invocation Refiner: A Plug-and-Play Module for Rectifying LLM Tool Invocations
    Qirui Jiao, Dian Jiao, Nan Du, Ying Shen, Liang Lin

  • GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoning
    Fengyi Wu, Yifei Dong, Yilong Dai, Guangyu Chen, Qifeng Wu, Huiting Huang, Hang Wang, Qi Dai, Alexander G Hauptmann, Zhi-Qi Cheng

  • Temporal Contrastive Decoding: A Training-Free Method for Large Audio-Language Models
    Yanda Li, Yuhan Liu, Zirui Song, Yunchao Wei, Martin Takáč, Salem Lahlou

  • When Internalization Fails: Finding Better Targets for Reasoning Compression
    Mourad Heddaya, Manley Roberts, Rohan Wadhawan, Chenhao Tan

  • PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation
    Yongmin Yoo, Qiongkai Xu, Longbing Cao

  • MemSearcher: Iterative Memory Integration for Search Agent via End-to-End Reinforcement Learning
    Qianhao Yuan, Jie Lou, Zichao Li, Jiawei Chen, Yaojie Lu, Hongyu Lin, Le Sun, Debing Zhang, Xianpei Han

  • CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors
    Hang Su, Zequn Liu, Chen Hu, Xuesong Lu, Yingce Xia, Zhen Liu

  • RAP-ID: Mechanistic Prompt Injection Detection via Impostor Behavior Analysis
    Yuchen Yang, Lei Peng, Yujie He, Yang Yu, Zhongxin Wu, Yanlei Shi

  • When Safety Alignment Fails to Generalize: Probing with Language Game Jailbreaks
    Zewen Long, Yu Peng, Fangming Dong, Congyi Li, Xingmao Guan, Shu Wu, Kai Chen

  • Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS
    Yue Zhao, Hongyan Li, Yong Chen, Luo Ji

  • Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical Reasoning
    Chi Liu, Yan Shu, Mengzhuo Chen, Hongming Piao, Zhijian Duan, Derek Li, Bryan Dai

  • Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models
    Bajian Xiang, Tingwei Guo, Xuan Chen, Yang Han

  • Table-as-Search: Agentic Information Seeking is Table Completion
    Tian Lan, Felix Henry, Bin Zhu, Qianghuai Jia, Junyang Ren, Qihang PU, Haijun Li, Longyue Wang, Zhao Xu, Weihua Luo

  • Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text
    Junzhe Zhang, Huixuan Zhang, Xinyu Hu, Li Lin, Mingqi Gao, Shi Qiu, Xiaojun Wan

  • Global Context or Local Detail? Adaptive Visual Grounding for Hallucination Mitigation
    Yubo Jiang, Xin Yang, Abudukelimu Wuerkaixi, Zheming Yuan, Xuxin Cheng, Cao Liu, Ke Zeng, Fengying Xie, Zhiguo Jiang, Haopeng Zhang

  • FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval
    Caishuang Huang, Yang Qiao, Rongyu Zhang, Junjie Ye, Pu Lu, Wenxi Wu, Meng Zhou, Xiku Du, Qi Zhang, Tao Gui, Xuanjing Huang

  • From Fake to Real: Mitigating Out-of-Distribution Bias in In-Context Learning via Feedback Supervision from Large Language Models
    Rui Song, Yingji Li, Jian Li, Fausto Giunchiglia, Hao Xu

  • Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs
    Guangtao Lyu, Qi Liu, Chenghao Xu, Jiexi Yan, Muli Yang, Xueting Li, Fen Fang, Cheng Deng

  • Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
    Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu

  • WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments
    Jinchao Li, Yunxin Li, Chenrui Zhao, Zhenran Xu, Baotian Hu, Min Zhang

  • EDU-CIRCUIT-HW: Evaluating Multimodal Large Language Models on Real-World University-Level STEM Student Handwritten Solutions
    Weiyu Sun, Liangliang Chen, Yongnuo Cai, Huiru Xie, Yi Zeng, Ying Zhang

  • What Factors Affect LLMs and RLLMs in Financial Question Answering?
    Peng Wang, Xuesi Hu, Jiageng Wu, Yuntao Zou, Qiancheng Zhang, Dagang Li

  • Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems
    Namyeong So, Seokgyu Jang, Taeuk Kim

  • D²-RAG: Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware Decoding
    Jinshuo Zhang, Xiaoding Zhou, Weiyu Zhang, Guoqiang Chen, Ying Lian, Xiaoyang Meng, Yonghe Chen, Hongjiao Guan, Jiasheng Si, Wenpeng Lu

  • ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection
    Tao Liu, Taiqiang Wu, Runming Yang, Shaoning Sun, Junjie Wang, Yujiu Yang

  • DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management
    Zhitong Chen, Kai Yin, Xiangjue Dong, Chengkai Liu, Xiangpeng Li, Yiming Xiao, Bo Li, Junwei Ma, Ali Mostafavi, James Caverlee

  • TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and Verification
    Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Yutong Xie, Imran Razzak

  • How Retrieved Context Shapes Internal Representations in RAG
    Samuel Yeh, Sharon Li

  • TabularMath: Understanding Math Reasoning over Tables with Large Language Models
    Shi-Yu Tian, Zhi Zhou, Wei Dong, Kun-Yang Yu, Ming Yang, Zi-Jian Cheng, Lan-Zhe Guo, Yu-Feng Li

  • Seek-and-Solve: Benchmarking MLLMs for Visual Clue-Driven Reasoning in Daily Scenarios
    Xiaomin Li, Tala Wang, Zichen Zhong, Ying Zhang, Zirui Zheng, Takashi Isobe, Dezhuang Li, Huchuan Lu, You He, Xu Jia

  • Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images
    Yichi Zhang, Zhuo Chen, Lingbing Guo, Wen Zhang, Huajun Chen

  • Code Reffix: A Benchmark for Reflection-Guided Code Repair with Large Language Models
    Zaiyuan Di, Jianting Chen, Yunxiao Yang, Xiaoying Gao, Li Yang, Zhihao Wang, Yang Xiang

  • ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design
    Yutang Ge, Guojiang Zhao, Sihang Li, Zheng Cheng, Zifeng Zhao, Hanchen Xia, Guolin Ke, Linfeng Zhang, Zhifeng Gao, Yuguang Wang

  • SEC-FinTables: Evaluating Large Language Models for Detecting Logical Inconsistencies on Tabular Data
    Shuyan Ke, Qiong Wu, Hui Li, Liujuan Cao

  • QueryLink: Leveraging Query-Memory Alignment for Long-Term Reasoning in LLM Agents
    Xuxian Hu, Zhu Teng, Wei Zhang, Ming He, Jianping Fan

  • AutoPKG: An Automated Framework for Dynamic E-commerce Product-Attribute Knowledge Graph Construction
    Pollawat Hongwimol, Haoning Shang, Chutong Wang, Zhichao Wan, Yi Gao, Yuanming Li, Lin Gui, Wenhao Sun, Cheng Yu

  • Benchmarking LLMs on Authentic Cases from Medical Journals
    Wanlong Liu, Junying Chen, Yunjin Yang, Prayag Tiwari, Wenyu Chen, Benyou Wang

  • Beyond Quantity: Trajectory Diversity Scaling for Code Agents
    Guhong Chen, Chenghao Sun, Cheng Fu, Qiyao Wang, Zhihong Huang, ChaoPeng Wei, Guangxu Chen, Feiteng Fang, Ahmadreza Argha, Bing Zhao, Xander Xu, Qi Han, Hamid Alinejad-Rokny, Qiang Qu, Binhua Li, Shiwen Ni, Min Yang, Hu Wei, Yongbin Li

  • Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods?
    Zihan Chen, Yiming Zhang, Hengguang Zhou, Zenghui Ding, Yining Sun, Cho-Jui Hsieh

  • CaPEdit: Capability-Preserving Lifelong Knowledge Editing For Language Models
    Song-Li Wu, Zhaocheng Du, Xianquan Wang, Jingyi Wang

  • Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models
    He Xiao, Qingyao Yang

  • ELTLM: Evaluation of Longitudinal Temporal Large Multimodal Models in Clinical Scenarios
    Gengyuan Hu, Haoxiang Liu, Chenhong Cao, Shilei Tan, Wei Gong

  • Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning
    Zhiyin Yu, Bo Zhang, Qibin Hou, Zhonghai Wu, Xiao Luo, Lei Bai

  • Collaborative Multi-Agent Scripts Generation for Enhancing Imperfect-Information Reasoning in Murder Mystery Games
    Keyang Zhong, Junlin Xie, Hefeng Wu, Haofeng Li, Guanbin Li

  • A Picture is Worth a Thousand Words? An Empirical Study of Aggregation Strategies for Visual Financial Document Retrieval
    Ho Hung Lim, Yi Yang

  • ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-training
    Yifan Yang, Jinghui Lu, Yaping Deng, Ao Yang, Peijie Yu, Tinghao Yu, Feng Zhang

  • A Universal Avoidance Method for Diverse Multi-branch Generation
    Kyeongman Park, Minha Jhang, Kyomin Jung

  • CentaurTA: A Self-Improving Human-Agents Collaboration Framework for Thematic Analysis
    Lei Wang, Min Huang, Eduard Dragut

  • Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies
    Changhai Zhou, Shiyang Zhang, Yuhua Zhou, Jun Gao, Qian Qiao, Shichao Weng, Weizhong Zhang, Cheng Jin

  • From Script to Stage: Automating Experimental Design for Social Simulations with LLMs
    Yuwei Guo, Zihan Zhao, Xiaowei Liu, Xiangning Yu, Qun Ma, Deyu Zhou, Xiao Xue

  • Generative Giants, Retrieval Weaklings: Why do Multimodal Large Language Models Fail at Multimodal Retrieval?
    Hengyi Feng, Zeang Sheng, Meiyi Qiang, Yang Li, Wentao Zhang

  • Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation
    Xinping Zhao, Shouzheng Huang, Yan Zhong, Xinshuo Hu, Meishan Zhang, Baotian Hu, Min Zhang

  • Tree-Notebook: A Context-Aware Agent with Tree Search and Entropy-Aware Data Shadow for Interactive Data Science
    Junkun Qiu, Min Huang, Qinghai Miao

  • Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation
    Haonan Shangguan, Xiaocui Yang, Shi Feng, Daling Wang, Yifei Zhang, Feiliang Ren, Ge Yu

  • Agentic-R: Learning to Retrieve for Agentic Search
    Wenhan Liu, Xinyu Ma, Yutao Zhu, Yuchen Li, Daiting Shi, Dawei Yin, Zhicheng Dou

  • JailMeter: An Evidence-Based Evaluation Framework for Jailbreak Attacks on Large Language Models
    Qingjia Huang, Jingyu Zhang, Jianguo Wu, Yakai Li, Weijuan Zhang, Yankai Rong, Junyi Yao, Shengzhi Zhang, Xiaoqi Jia

  • DataSeer: A Manager-Centric Collaborative Multi-Agent Framework with Multi-Branch Reasoning for Automated Insight Discovery
    Suchen Liu, Yuanfeng Song, Jun Gao, Xing Chen

  • “Penny Wise, Pixel Foolish”: Bypassing Price Constraints in Multimodal Agents via Visual Adversarial Perturbations
    Jiachen Qian, Zhaolu Kang

  • Beyond the Individual: Virtualizing Multi-Disciplinary Reasoning for Clinical Intake via Collaborative Agents
    Huangwei Chen, Wu Li, Junhao Jia, Yining Chen, Xiaotao Pang, YaLong Chen, Gonghui Li, Haishuai Wang, Jiajun Bu, Lei Wu

  • SWE-Swiss: A Multi-Task Fine-Tuning and RL Recipe for High-Performance Issue Resolution
    Zhenyu He, Qingping Yang, Wei Shen, Xiaojian Zhong, Kechi Zhang, Chenxin An, Wenlei Shi, Tianle Cai, Di He, Jiaze Chen, Jingjing Xu

  • BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents
    Yunhao Feng, Yige Li, Yutao Wu, Yingshui Tan, Yanming Guo, Yifan Ding, Kun Zhai, Xingjun Ma, Yu-Gang Jiang

  • DKME: Rethinking Coupled Knowledge Memory for Lifelong Model Editing of Large Language Models
    Guanyu Zheng, Zhenyu Wang, Tingting He, Xv Wang, Haochang Wang, Yaokai Huang, Tiejun Zhao

  • Self-Awareness before Action: Mitigating Logical Inertia via Proactive Cognitive Awareness
    Fulong Fan, Peilin Liu, Liu FengZhe, Shuyan Yang, Gang Yan

  • MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages
    Wenhan Han, Yifan Zhang, Zhixun Chen, Binbin Liu, Mykola Pechenizkiy, Meng Fang, Yin Zheng

  • PrefRAG: Correcting Semantic Errors in Auto-Formalization for Logical Reasoning with Program Preference RAG
    Yuyin Zhou, Yongmei Liu

  • LoopCoder: Scaling Code Intelligence via Looped Language Models
    Jian Yang, Wei Zhang, Shuyue Guo, Yizhi LI, Linzheng Chai, Zhengmao Ye, Shukai Liu, Yuyang Song, Jiajun Wu, Che Liu, Tianyu Zheng, Siwei Wu, Leo L, Xudong Ma, Chuan Hao, Ran Tao, Yan Xing, Jianzhou Wang, Mingjie Tang, Aishan Liu, Zhoujun Li, Xianglong Liu, Weifeng Lv, Bryan Dai

  • TempTool-R1: Tool-Augmented Reinforcement Learning for Temporal Knowledge Graph Question Answering
    Zicheng Huang, Yajuan Tong, Xinhui Tu, Tingting He

  • Lightweight Haar Wavelet Subband Pruning for LLMs
    Jiang Li, Pengfei Cao, Chenxi Zhou, Tian Lan, Xiangdong Su, Kang Liu, Jun Zhao, Guanglai Gao

  • Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
    Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria

  • ProCeedRL: Process Critic with Explorative Demonstration Reinforcement Learning for LLM Agentic Reasoning
    Jingyue Gao, Yanjiang Guo, Xiaoshuai Chen, Jianyu Chen

  • Accelerating Prefilling via Decoding-time Contribution Sparsity
    Zhiyuan He, Yike Zhang, Chengruidong Zhang, Huiqiang Jiang, Yuqing Yang, Lili Qiu

  • SpecBound: Adaptive Bounded Self-Speculation with Layer-wise Confidence Calibration
    Zhuofan Wen, Yang Feng

  • Stable and Explainable Personality Trait Evaluation in Large Language Models with Internal Activations
    Xiaoxu Ma, Xiangbo Zhang, Zhenyu Weng

  • Learning Continuous Temporal Dynamics on Symplectic Manifolds for Temporal Knowledge Graph Embedding
    Jiang Li, Zehua Duo, Tian Lan, Feilong Bao, Guanglai Gao, Xiangdong Su

  • mPresenter: An Agentic Framework for Generating Multilingual Presentation Videos from Scientific Papers
    Wenhan Han, Xiao Xiao, Mykola Pechenizkiy, Meng Fang

  • Tree-CoT-RT: An Explainable Multi-Path Tree-Guided Chain-of-Thought and Reinforcement Learning Framework for Aspect Sentiment Quad Prediction
    Hao Zhang, Jiahao Wang, Zhenke Duan, Xin Yin, Haichuan Hu, Hualong Chen, Yi Su, Congqing He, Yike Tan, Yu-N Cheah

  • PRISM-MCTS: Learning from Reasoning Trajectories with Metacognitive Reflection
    Siyuan Cheng, Bozhong Tian, Yanchao Hao, Zheng Wei

  • CausalityCheck: A Framework for Evaluating Causal Reasoning in Large Language Models
    Jiang Li, Zehua Duo, Guanglai Gao, Xiangdong Su

  • OmniDiagram: Advancing Unified Diagram Code Generation via Visual Interrogation Reward
    Haoyue Yang, Xuanle Zhao, Xuexin Liu, Feibing Jiang, Yao Zhu

  • Why Agents Compromise Safety Under Pressure
    Hengle Jiang, Ke Tang

  • CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging
    Jie Cao, Zhenxuan Fan, Zhuonan Wang, Tianwei Lin, Ziyuan ZHAO, Rolan Yan, Wenqiao Zhang, Feifei Shao, Hongwei Wang, Jun Xiao, Siliang Tang

  • QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation
    Dehai Min, Kailin Zhang, Tongtong Wu, Lu Cheng

  • CaM-HG: Causal-Enhanced MoE and Hypergraphs Network for Incomplete Multimodal Emotion Recognition in Conversations
    Mingjian Yang, Yong Wang, Peng Liu, Wen Yin

  • Large-Scale Diverse Synthesis for Mid-Training
    Xuemiao Zhang, Chengying Tu, Can Ren, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai

  • DiSec: Mitigating Backdoors in Pre-trained Language Models via Disentanglement of Adversarial Weights for Secure Fine-Tuning
    Sunanda Das, Qinghua Li

  • LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples
    Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani

  • Think Earlier, Not Longer: Prompt Optimization via Reducing Unhealthy Exploration
    Ling-I Wu, Minyu Chen, Jingyang Li, Xi Chang, Guoqiang Li

  • Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations
    Bichen Wang, Junzhe Wang, Yixin Sun, Xing Fu, Yanyan Zhao, Bing Qin

  • Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning
    Manjie Xu, Isabella Yin, Xinyi Tu, Chi Zhang, Yixin Zhu

  • Bypassing Neural Evaluations for Fast Audio Editing via Adaptive Trajectory Extrapolation
    Xiaoqian Liu, Zhengkun Ge, Jianjin Wang, Haoran Zhang, Yuan Ge, Kaiyan Chang, Chen Xu, Tong Xiao, Zhengtao Yu, Linfeng Zhang, JingBo Zhu

  • Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models
    Xudong Wang, Chaoning Zhang, Chenghao Li, Shuxu Chen, Qigan Sun, Jiaquan Zhang, Fachrina Dewi Puspitasari, Tae-Ho Kim, Jiwei Wei, Malu Zhang, Guoqing Wang, Yang Yang, Heng Tao Shen

  • Structured Confidence–Guided Online Adaptation for LLM-based Multi-Label Classification
    Pengyu Xu, JingRen Hou, Liping Jing, Jian Yu

  • SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams
    Chenglong Wang, Canjia Li, Xingzhao Zhu, Yifu Huo, Huiyu Wang, Weixiong Lin, Yun Yang, Qiaozhi He, Tian Hua Zhou, Xiaojia Chang, Jingbo Zhu, Tong Xiao

  • CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents
    Taeyun Roh, Wonjune Jang, Junha Jung, Jaewoo Kang

  • ClinAlign: Scaling Healthcare Alignment from Clinician Preference
    Shiwei Lyu, Xidong Wang, Hao Zhu, Lei Liu, Chaohe Zhang, Jian Wang, Jinjie Gu, Benyou Wang, Yue Shen

  • SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding
    Yuqi Yang, Weiqi Wang, Baixuan Xu, Wei Fan, Qing Zong, Chunkit Chan, Zheye Deng, Xin Liu, Yifan Gao, Changlong Yu, Chen Luo, Yang Li, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song

  • Adapting Where It Matters: Depth-Aware Adaptation for Efficient Multilingual Speech Recognition in Low-Resource Languages
    Yang Xiao, Eun-Jung Holden, Ting Dang

  • Targeted Exploration via Unified Entropy Control for Reinforcement Learning
    Chen Wang, Lai Wei, Yanzhi Zhang, Chenyang Shao, Zedong Dan, Weiran Huang, Ge Lan, Yue Wang

  • Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
    Zouying Cao, Jiaji Deng, Li Yu, Weikang Zhou, Zhaoyang Liu, Bolin Ding, Hai Zhao

  • Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning
    Xinyan Guan, Jiali Zeng, Chunlei Xin, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Fandong Meng

  • AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models
    Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu

  • Doc-PP: Document Policy Preservation Benchmark for Large Vision-Language Models
    Haeun Jang, Hwan Chang, Hwanhee Lee

  • RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement Learning
    Meng Xi, Sihan Lv, Yechen Jin, Guanjie Cheng, Naibo Wang, Ying Li, Jianwei Yin

  • CodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code Generation
    Peiding Wang, Li Zhang, Fang Liu, Chongyang Tao, Yinghao Zhu

  • HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation
    Loris Bergeron, Ioana Buhnila, Jerome Francois, Radu State

  • Capabilities and Evaluation Biases of Large Language Models in Classical Chinese Poetry Generation: A Case Study on Tang Poetry
    Bolei Ma, Yina Yao, Anna-Carolina Haensch

  • SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding
    Songcheng Cai, Zhiheng Lyu, Yuansheng Ni, Xiangchao Chen, Baichuan Zhou, Shenzhe Zhu, Yi Lu, Haozhe Wang, Chi Ruan, Benjamin Schneider, Weixu Zhang, Xiang Li, Andy Zheng, Yuyu Zhang, Ping Nie, Wenhu Chen

  • Do MLLMs Understand Pointing? Benchmarking and Enhancing Referential Reasoning in Egocentric Vision
    Chentao Li, Zirui Gao, Mingze Gao, Yinglian Ren, Jianjiang Feng, Jie Zhou

  • Can Post-Training Transform LLMs into Causal Reasoners?
    Junqi Chen, Sirui Chen, Chaochao Lu

  • MoE Adapter for Large Audio Language Models: Sparsity, Disentanglement, and Gradient-Conflict-Free
    Yishu Lei, Shuwei He, Jing Hu, Dan Zhang, Xianlong Luo, Danxiang Zhu, Shikun Feng, Rui Liu, Jingzhou He, Yu Sun, Hua Wu, Haifeng Wang

  • QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training–Inference Mismatch
    Hao Gu, Hao Wang, Jiacheng Liu, Lujun Li, Qiyuan Zhu, Bei Liu, Binxing Xu, Lei Wang, Xintong Yang, Sida Lin, Sirui Han, Yike Guo

  • Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL
    Hanqing Wang, Yongdong Chi, Jian Yang, Lei Yang, Jiehui Zhao, Yun Chen, Guanhua Chen

  • Can We Entrust Justice to AI?: How Persona Traps Contaminate Reasoning in Criminal Investigation
    Jaewook Lee, Myeong-Cheol Kang, Jong-hun Shin

  • Beyond Semantic Similarity: Appraisal-Guided Chain-of-Thought Reasoning and Retrieval for Multimodal Emotional Support Conversations
    Yuqi Chu, Lizi Liao, Jinggui Liang, Boyang Li, Richang Hong

  • When and What to Ask: AskBench and Rubric-Guided RLVR for LLM Clarification
    Jiale Zhao, Ke Fang, Lu Cheng

  • FreezeEmpath: Efficient Training for Empathetic Spoken Chatbots with Frozen LLMs
    Yun Hong, Yan Zhou, Yang Feng

  • To Intervene or Not: Guiding Inference-time Alignment with Probabilistic Model Blending
    Jin Gan, Xin Li, Jun Luo

  • FLEXITOKENS: Flexible Tokenization for Evolving Language Models
    Abraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar

  • RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
    Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang

  • Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA
    Guanhua Chen, Yutong Yao, Shenghe Sun, Ci-Jun Gao, Shudong Liu, Lidia S. Chao, Feng Wan, Derek F. Wong

  • PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning
    Yunzhi Shen, Hao Zhou, Xin Huang, Xue Han, Junlan Feng, Shujian Huang

  • RanLoRA: Residual-aware Nonlinear Low-Rank Adaptation
    Xu Luo, Yongbin Liu, Chunping Ouyang, Ying Yu

  • Multi-Hop Knowledge Editing via Critic-Guided Multi-Agent Reasoning
    Xudong Li, Yuhang Tian, Dandan Song, Zhijing Wu, Shuhao Zhang, Jun Yang, Yongyu Huo, Changzhi Zhou, Xinyu Zhang, Chenhao Li, Huipeng Ma, Luan Zhang, Yan Xu, Qian Liu

  • Rethinking Post-Unlearning Behavior of Large Vision-Language Models
    Minsung Kim, Nakyeong Yang, Kyomin Jung

  • Scattered Hypothesis Generation for Open-Ended Event Forecasting
    He Chang, Zhulin Tao, Lifang Yang, Xianglin Huang, Yunshan Ma

  • Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented Generation
    Yingtao Ren, Xiao Luo, Yu-Cheng Chang, Chin-teng Lin

  • From Pseudo-Balancing to True Specialization: Memory-Aware Routing for Mixture-of-Experts
    Peixuan Hou, Yunbo Hou, Bin Chen, Li He, Jian Xu, Weiping Li, Bo Zheng, Guojie Song

  • Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction
    Sejun Park, Yoonah Park, Jongwon Lim, Yohan Jo

  • Understanding LLM Reasoning for Abstractive Summarization
    Haohan Yuan, Haopeng Zhang

  • Feasible is Not Enough: Cost-Aware Optimal Tool-Chain Planning on Multi-Solution Tool Graphs
    Liangliang Liu, Yanming Li, Yigang Liu, Jialong Han, Rujia Shen, Yi Guan, Yi Lin, Jingchi Jiang

  • DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models
    Xueyu Zhou, Yangrong Hu, Jian Huang

  • BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories
    Yuxuan Ouyang, Yingfeng Luo, JingBo Zhu, Tong Xiao

  • Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs
    Man Hu, Xinyi Wu, Zhufeng Suo, Jinbo Feng, Linghui Meng, Yanhao Jia, Anh Tuan Luu, Shuai Zhao

  • From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step Reasoning
    Kiran Purohit, Ramasuri Narayanam, Soumyabrata Pal

  • SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
    Yifu Huo, Chenglong Wang, Ziming Zhu, Shunjie Xing, Peinan Feng, Tongran Liu, Qiaozhi He, Tian Hua Zhou, Xiaojia Chang, Jingbo Zhu, Zhengtao Yu, Tong Xiao

  • Memp: Exploring Agent Procedural Memory
    Runnan Fang, Yuan Liang, Xiaobin Wang, Jialong Wu, Shuofei Qiao, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang

  • ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning
    Jinyang Wu, Guocheng Zhai, Ruihan Jin, Jiahao Yuan, Yuhao Shen, Shuai Zhang, Zhengqi Wen, Jianhua Tao

  • SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context
    Shuquan Lian, Juncheng Liu, Yazhe Chen, Yuhong Chen, Hui Li

  • CAR: Empowering Agents with Dynamic Tool Synthesis and Global Trajectory Rectification
    Kai Wang, Xu Wang, Zhiyuan Fu, Yudong Zhang, Yang Wang

  • FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation
    Dat Nguyen Cong, Tung Kieu, Hoang Thanh-Tung

  • GCIG: GraphRAG-based Cross-document Instruction Generation for Boosting LLM Reasoning
    Xiaoliang Xu, Huang Yuan, Junmei Wang, Can Xu

  • Towards General Agentic Intelligence via Environment Scaling
    Runnan Fang, Shihao Cai, Baixuan Li, Jialong Wu, Guangyu Li, Wenbiao Yin, Xinyu Wang, Xiaobin Wang, Liangcai Su, Zhen Zhang, Shibin Wu, Zhengwei Tao, Yong Jiang, Pengjun Xie, Ningyu Zhang, Fei Huang, Wentao Zhang, Jingren Zhou

  • EAIR: Entity-aware Inference-Time Knowledge Routing for Multi-Hop Knowledge Editing
    Jungyu Lee, Kunhui Lee, Gyun Lee, Seung-Hoon Na

  • Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints
    Songping Peng, Zhiheng Zhang, Daojian Zeng, Lincheng Jiang, Xieping Gao

  • GAPO: Robust Advantage Estimation for Real-World Code LLMs
    Jianqing Zhang, Zhezheng Hao, Wei Xia, Hande Dong, Hong Wang, Chenxing Wei, Yuyan Zhou, Yubin Qi, Qiang Lin, Jian Cao

  • What’s Missing in Screen-to-Action? Towards a UI-in-the-Loop Paradigm for Multimodal GUI Reasoning
    Songze Li, Xiaoke Guo, Tianqi Liu, Biao Yi, Zhaoyan Gong, Zhiqiang Liu, Huajun Chen, Wen Zhang

  • When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning
    Ruotao Xu, Yixin Ji, Yu Luo, Jinpeng Li, Dong Li, Peifeng Li, Juntao Li, Min Zhang

  • V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language Models
    Xiangxi Zheng, Linjie Li, Zhengyuan Yang, Ping Yu, Alex Jinpeng Wang, Rui Yan, Yuan Yao, Lijuan Wang

  • Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization
    Huimin Xu, Shuai Zhao, Xiaobao Wu, Anh Tuan Luu

  • Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax
    Zeli Su, Ziyin Zhang, Zhou Liu, Xuexian Song, Zhankai Xu, Longfei Zheng, Xiaolu Zhang, Rong Fu, Guixian Xu, Wentao Zhang

  • MEIC-DT: Memory-Efficient Incremental Clustering for Long-Text Coreference Resolution with Dual-Threshold Constraints
    Kangyang Luo, Shuzheng Si, Yuzhuo Bai, Cheng Gao, Zhitong Wang, Cheng Huang, Yingli Shen, Yufeng Han, Wenhao Li, Cunliang Kong, Maosong Sun

  • Lost in Diffusion: Uncovering Hallucination Patterns and Failure Modes in Diffusion Large Language Models
    Zhengnan Guo, Fei Tan

  • FARSS: Fisher-Optimized Adaptive Low-Rank and Singular-Vector Selection for Knowledge-Preserving Fine-Tuning
    Renxing Chen, Ziwei Xiang, Peisong Wang, Hongjian Fang, Meng Li, Fanhu Zeng, Yanan Zhu, Peipei Yang, Xu-Yao Zhang, Jian Cheng

  • Align Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented Generation
    Jiaang Li, Zhendong Mao, Quan Wang, Yuning Wan, Yongdong Zhang

  • GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts
    Wenhao Zeng, Xuteng Zhang, Yuling Shi, Chao Hu, Yuting Chen, Beijun Shen, Xiaodong Gu

  • Plug-and-Play Data Module for Code RL: Adaptive Ambiguity Replay
    Jianqing Zhang, Wei Xia, Zhezheng Hao, Hong Wang, Hande Dong, Qiang Lin, Yang Liu, Jian Cao, Qiang Yang

  • Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark
    Zihan Luo, Hong Huang, Jianxun Lian, Yu Chang, Xing Xie, Hai Jin

  • Dunhuang-Bench: How Well Do MLLMs Understand Cultural Heritage?
    Junyi Yuan, Jian Zhang, Tianxiu Yu, Yanlin Zhou, Xiaobo Jin, Qiufeng Wang, Fangyu Wu

  • Multi-Docker-Eval: A `Shovel of the Gold Rush’ Benchmark on Automatic Environment Building for Software Engineering
    Kelin Fu, Tianyu Liu, Zeyu Shang, Yingwei Ma, Jiaheng Liu, Jian Yang, Kaigui Bian

  • Not All Modalities at Once: Dynamic Dropout and Bidirectional Fusion for Robust Multi-modal Knowledge Graph Completion
    Jiashun Peng, Fu Zhang, Hongzhi Chen, Jingwei Cheng, Yingsong Ning, Xiaoke Wang

  • If Only My CGM Could Speak: A Privacy-Preserving Agent for Question Answering over Continuous Glucose Data
    Yanjun Cui, Ali Emami, Temiloluwa Prioleau, Nikhil Singh

  • E-ABSA20K: A Dataset and Propose-and-Verify for Aspect-Based Sentiment Analysis in Long E-commerce Reviews
    Tong Sun, Mingyang Ma, Cheng Yu

  • ECHA: Jailbreaking LVLMs via the Mismatch between Implicit Semantic Reconstruction and Explicit Safety Alignment
    Chenxing Xu, Junyong Jiang, Zehu Zhang, Lu Dong

  • Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization
    Yuxiang Ji, Yong Wang, Ziyu Ma, Yiming Hu, Hailang Huang, Xuecai Hu, Guanhua Chen, Liaoni Wu, Xiangxiang Chu

  • Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement Learning
    Xiaoyun Zhang, Xiaojian Yuan, Di Huang, Wang You, Chen Hu, Jingqing Ruan, Kejiang Chen, Xing Hu

  • SLIP: Soft Label Mechanism and Key-Extraction-Guided CoT-based Defense Against Instruction Backdoor in APIs
    Wu Zhengxian, Juan Wen, Wanli Peng, Haowei Chang, Yinghan Zhou, Xue yiming

  • U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents
    Jin Su, Runnan Fang, Yeqiu Li, Xiaobin Wang, Shihao Cai, Pengjun Xie, Ningyu Zhang, Fajie Yuan

  • AdaTooler-V: Adaptive Tool-Use for Images and Videos
    Chaoyang Wang, Kaituo Feng, Dongyang Chen, Zhongyu Wang, Zhixun Li, Sicheng Gao, Meng Meng, Xu Zhou, Manyuan Zhang, Yuzhang Shang, Xiangyu Yue

  • Exposing Privacy Risks in Graph Retrieval-Augmented Generation
    Jiale Liu, Jiahao Zhang, Suhang Wang

  • BalanceSFT: Improving LLM Function Calling with Balanced Training Signals and Data Hardness
    Bingguang Hao, Zengzhuang Xu, Maolin Wang, Yuntao Wen, Yicheng Chen, Cunyin Peng, Long Chen, Xiangyu Zhao, Jinjie Gu, Chenyi Zhuang, Ji Zhang

  • How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts
    Minh-Vuong Nguyen, Fatemeh Shiri, Zhuang Li, Karin Verspoor

  • Safety-Aware Dialogue System for Postoperative Oral Cancer Care with Structured Clarification and a Clinically Curated Dataset
    Tzu-Chi Liu, Hui-Ying Yang, Shiow-Ching Shun, Yu-Chi Chen, Lu-Yen Anny Chen, Yong-Sheng Chen

  • FTibSuite: A Comprehensive Resource Suite for Tibetan Vision–Language Modeling
    Guixian Xu, Yide Liang, Zeli Su, Xuexian Song, Ziyin Zhang, Yushuang Dong, Ting Zhang, Xu Han

  • DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & Inference
    Zihan Wang, Hao Wang, Shi Feng, Xiaocui Yang, Daling Wang, Yiqun Zhang, Jinghao Lin, Xiaozhong Ji, Haihua Yang

  • Softpick: No Attention Sink, No Massive Activations with Rectified Softmax
    Zayd Muhammad Kawakibi Zuhri, Erland Hilman Fuadi, Alham Fikri Aji

  • UniCM: A Unified Consistency Model For Efficient Multimodal Generation and Understanding
    Chenkai Xu, Xu Wang, Zhenyi Liao, Yishun Li, TianQi Hou, Zhijie Deng

  • Can Multi-agent Help Disambiguation in Multi-domain Translation?
    Zhibo Man, Shaoyang Xu, Yujie Zhang, Yi Feng, Yuanmeng Chen, Yufeng Chen, Xu Jinan, Wenxuan Zhang

  • Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning
    Zheng Wu, Xingyu Lou, Xinbei Ma, Yansi Li, Weiwen Liu, Weinan Zhang, Jun Wang, Zhuosheng Zhang

  • Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions
    KunZhou, Jiakai He, Wenmian Yang, Zhensheng Wang, Yiquan Zhang, Weijia Jia

  • PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning
    Langming Liu, Kangtao Lv, Haibin Chen, Weidong Zhang, Yejing Wang, Shilei Liu, Xin Tong, Yujin Yuan, Yongwei Wang, Wenbo Su, Bo Zheng

  • OMHBench: Benchmarking Balanced and Grounded Omni-Modal Multi-Hop Reasoning
    Seunghee Kim, Ingyu Bang, Seokgyu Jang, Changhyeon Kim, Sanghwan Bae, Jihun Choi, Richeng Xuan, Taeuk Kim

  • Beyond Uniform SVD: Dual-Level Optimization across Columns and Modules for LLM Compression
    Lin Xv, Xian Gao, Ting Liu, Yuzhuo Fu

  • RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios
    Yibo Zhang, Kaiwen Luo, Liang Lin, Shilinlu Yan, Jin Wang, Yaoqi Guo, Yitian Chen, Yalan Qin, Zhenhong Zhou, Kun Wang, Li Sun

  • MedLayBench-V: A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models
    Han Jang, Junhyeok Lee, Heeseong Eum, Kyu Sung Choi

  • Divergent Thinking: Escape the Homogeneity Trap in Generative Commonsense Reasoning
    Yiheng Tao, Kaiwen Cheng, Zhiwei Nie, Chang Liu, Jie Chen

  • SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models
    Xinyi Zeng, Xue Yang, Jingyuan Zhang, Huanqian Yan, Xiang Chen, Kaiwen Wei, Hankun Kang, Yu Tian

  • SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
    Yongfeng Huang, Ruiying Chen, James Cheng

  • On the Step Length Confounding in LLM Reasoning Data Selection
    Bing Wang, Rui Miao, Chen Shen, Shaotian Yan, Kaiyuan Liu, Ximing Li, Xiaosong Yuan, Sinan Fan, Jun Zhang, Jieping Ye

  • SLIM: Stealthy Low-Coverage Black-Box Watermarking via Latent-Space Confusion Zones
    Hengyu WU, Yang Cao

  • SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation
    Long Li, Zhijian Zhou, Jiangxuan Long, Peiyang Liu, Weidi Xu, Zhe Wang, Shirui Pan, Chao Qu

  • Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space
    Xiang Zhang, Kun Wei, Xu Yang, Jiahua Li, Su Yan, Cheng Deng

  • SpecEdit: A Spectral Approach for Multi-Round Knowledge Editing
    Junxian Liu, Zikun Deng, Xin Wu, Dazhen Deng, Yi Cai

  • SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization
    Wooin Lee, Hyun-Tae Kim

  • DP³: Differentially Private Prompt Perturbation for Multi-turn LLM Inference
    Lele Zheng, Chao Zhang, Feiyang Yuan, Ke Cheng, Tao Zhang, Anxiao Song, Yulong Shen

  • RAMP: Risk-Aware Multi-Turn Planning for Jailbreak Red-Teaming
    Yize Liu, Yunyun Hou, Aina Sui

  • LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence
    Wenjin Liu, Haoran Luo, Xin Feng, Xiang Ji, Lijuan Zhou, Rui Mao, Jiapu Wang, Shirui Pan, Erik Cambria

  • From Attenuation to Attention: Variational Information Flow Manipulation for Fine-Grained Visual Perception
    Jilong ZhuYang Feng

  • VulAgent: Hypothesis-Validation Driven Multi-Agent Architecture for Vulnerability Detection
    Ziliang Wang, Ge Li, Jia Li, Hao Zhu, Zhi Jin

  • From Attack Surfaces to Actual Operations: A Survey of Modern LLM Jailbreaks
    Ruikang Zhou, Changsheng Sun, Mark Huasong Meng

  • ARC: Active and Reflection-driven Context Management for Long-Horizon Information Seeking Agents
    Yilun Yao, Shan Huang, Elsie Da, Zhewen Tan, Zhenyu Duan, Shousheng Jia, Yanbing Jiang, Tong Yang

  • ToolDNA: Autonomous Evolution of Tool Metadata for Robust Dialogue Agents
    Qiuyuan Ai, Cong Wang, Jiaqi Zhang, Zengxin Han, Jie Song

  • ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models
    Zhen Wang, Yuqi Ren, Yuehan Cui, Hongxiang Wang, Jianxiang Peng, Zhaoxia Zhang, Bingkun Zhu, Tongxuan Zhang, Dezhi Tong, Deyi Xiong

  • Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience Replay
    Hao Wang, Yanting Wang, Hao Li, Rui Li, Lei Sha

  • RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction
    Sihao Liu, YuFan Xiong, Zhonghua Jiang, Zhaode Wang, Chengfei Lv, Shengyu Zhang

  • RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game
    Shijia Xu, Yu Wang, Xiaolong Jia, Zhou Wu, Kai Liu, April Xiaowen Dong

  • RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models
    Tianqianjin Lin, Xi Zhao, Xingyao Zhang, Rujiao Long, Yi Xu, Zhuoren Jiang, Wenbo Su, Bo Zheng

  • Data-Centric Continual Pre-training for 500+ Languages: A New Bilingual Translation Corpus and Multilingual Models
    Shaoxiong Ji, Zihao Li, Jaakko Paavola, Hengyu Luo, Jörg Tiedemann

  • Failures are Treasures: Constructing a Pedagogical Bridge for Agentic Strategy Distillation
    Jiaxin Guo, Hao Sun, Wenhao Zhang, Chunyu Yang, Yan Zhang

  • Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
    Jinwen Chen, Hainan Zhang, Liang Pang, Yongxin Tong, Haibo Zhou, Wei Lin, Zhiming Zheng

  • Beyond Sentence-level Labels: Integrating Conversational Context and Personal Experience for Natural Emotional Expression
    Haiyang Sun, Chenyang Le, Wei Wang, Leying Zhang, Chuang Li, Bing Han, Chenda Li, Mengxiao Bi, Yanmin Qian

  • Structure-Aware Zero-Shot Relational Learning for Knowledge Graphs without External Knowledge
    Kuan Xu, Baoxin Zhang, Shuyue Fan, Ming Chen, Zhipeng Ke, Jian Yu, Xuezhong Zhou

  • Continual Safety Alignment via Gradient-Based Sample Selection
    Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran

  • ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models
    Ruihui Hou, Siyi Zhu, Ziyue Huai, Guangya Yu, Yongqi Fan, ChunMing Wang, Tong Ruan

  • Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework
    Jiaqi Weng, Han Zheng, Hanyu Zhang, Ej Zhou, Qinqin He, Jialing Tao, Hui Xue, Zhixuan Chu, Xiting Wang

  • Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations
    Haitong Luo, Fali Wang, Weiyao Zhang, Xianren Zhang, Zhiwei Zhang, Tianxiang Zhao, Minhua Lin, Jiahao Zhang, Hui Liu, Xianfeng Tang, Qi He, Suhang Wang, Xuying Meng, Yujun Zhang

  • GUITester: Enabling GUI Agents for Exploratory Defect Discovery
    Yifei Gao, Jiang Wu, Xiaoyi Chen, Yifan Yang, Zhe Cui, Tianyi Ma, Jiaming Zhang, Jitao Sang

  • BiCSRouter: Bi-Level Cross-System Routing for Utility-Aware LLM Inference
    Keyu Mao, Eiki Murata, Ukyo Honda

  • FAER: Benchmarking VLMs for Failure-Aware Embodied Reasoning
    Hao Song, Kaifeng Liu, Yuanxing Liu, Xiang Tian, Xuesong Wang, Chen Yifan, Weinan Zhang, Ting Liu

  • Reverse Constitutional AI: A Framework for Controllable Toxic Data Generation via Probability-Clamped RLAIF
    Yuan Fang, Yiming Luo, Aimin Zhou, Fei Tan

  • ToolGrad: Efficient Tool-use Dataset Generation with Textual “Gradients”
    Zhongyi Zhou, Kohei Uehara, Haoyu Zhang, Jingtao Zhou, Lin Gu, Ruofei Du, Zheng Xu, Tatsuya Harada

  • Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning
    Can Xie, Ruotong Pan, Xiangyu Wu, Zhang yunfei, Jiayi Fu, Tingting Gao, Guorui Zhou

  • GlossaGen: Making Academic Translation Smarter with Glossing
    Zixiao Wang, Duzhen Zhang, Juntian Zhang, Yuhan Liu, Guoming Li, Haolun Wu, Le Song, Xiuying Chen

  • DeCoVec: Building Decoding Space based Task Vector for Large Language Models via In-Context Learning
    Feiyang Li, Yile Wang

  • Hebbian-Guided Bi-Directional Rank Adaptation for Parameter-Efficient Fine-Tuning
    Xing Zhao, Liu Yang, Xi-Le Zhao, Yueqi Yang, Tianqi Jiang

  • StruNRAG: Evaluation of OCR-Induced Structural Noise on RAG Robustness
    Mengna Gao, Dapeng Yin, Shuyue Zhu, Bingxuan Hou, Zhanpeng Ni, Junli Wang

  • Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks
    Yuxiang Zhang, Jiangming Shu, Ye Ma, Xueyuan Lin, Shangxi Wu, Jitao Sang

  • Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical Dialogue
    Guangya Yu, Hui Luo, Qi Ye, Ruihui Hou, Weiyan Zhang, Mingxi Shang, Xuanwu Li, ChunMing Wang, Tong Ruan

  • Beyond Static Personas: Situational Personality Steering for Large Language Models
    Zesheng Wei, Mengxiang Li, Zilei Wang, Yang Deng

  • Born Pragmatic, Trained to Hallucinate? Quantifying the Origins of Contextual Bias in LLMs via the PaCE Benchmark
    Ziming Li, Yu Tian, Tian Lan, Jiang Li, Zehua Duo, Guanglai Gao, Xiangdong Su

  • Domain-Specific Data Generation Framework for RAG Adaptation
    Chris Xing Tian, Weihao Xie, Zhen Chen, Hui Liu, Zhengyuan Yi, Haoliang Li, Shiqi Wang, Siwei Ma

  • Tracing Mathematical Proficiency Through Problem-Solving Processes
    Jungyang Park, Suho Kang, Jaewoo Park, JaeHong Kim, Jaewoo Shin, Seonjoon Park, Youngjae Yu

  • Decision Biases and Intent-Irony Decoupling in Large Language Models
    Kewei Guo, Lingyun Sun, Manhao Guan

  • Anonpsy: A Graph-Based Framework for Structure-Preserving De-identification of Psychiatric Narratives
    Kyungho Lim, Byung-Hoon Kim

  • HearSay Benchmark: Do Audio LLMs Leak What They Hear?
    Jin Wang, Kaiwen Luo, Liang Lin, Weiliu Wang, Yitian Chen, Moayad Aloqaily, Xuehai Tang, Zhenhong Zhou, Kun Wang, Li Sun, Qingsong Wen

  • LongInsightBench: A Comprehensive Benchmark for Evaluating Omni-Modal Models on Human-Centric Long-Video Understanding.
    ZhaoYang Han, Qihan Lin, Hao Liang, Bowen Chen, Zhou Liu, Wentao Zhang

  • Fixing Semantic Blind Spots in Anchor Tokens of dMLLMs
    Ruixuan Xu, Jiexi Xu, Qiyan Zhao, Xiaofeng Zhang

  • Beyond Transcription: Unified Audio Schema for Perception-Aware AudioLLMs
    Linhao Zhang, Yuhan Song, Aiwei Liu, Chuhan Wu, Sijun Zhang, Wei Jia, Yuan Liu, Houfeng Wang, Zhou Xiao

  • From Style to Story: A Curriculum Learning Approach for Imitative Novel Generation
    Xueran Han, Yuhan Liu, Mingzhe Li, Wei Liu, Sen Hu, Rui Yan, Zhiqiang Xu, Xiuying Chen

  • ArkRepoBench: A Repository-Level Code Completion Benchmark for HarmonyOS Development
    Yanlin Wang, Bowen Zhang, Yanli Wang, Daya Guo, Terry Yue Zhuo, Jiachi Chen, Mingwei Liu, Xingong Zhang, Zibin Zheng

  • e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings
    Haonan Chen, Sicheng Gao, Radu Timofte, Tetsuya Sakai, Zhicheng Dou

  • Large Language Models Are Still Misled by Simple Bias Ensembles
    Zhouhao Sun, Zhiyuan Kan, Xiao Ding, Li Du, Bibo Cai, Yang Zhao, Bing Qin, Ting Liu

  • Text-to-TrajVis: Enabling Trajectory Data Visualizations from Natural Language Questions
    Tian Bai, Huiyan Ying, Kailong Suo, Victor Junqiu Wei, Tao Fan, Yuanfeng SONG

  • MemTR: Enhancing Tool-Calling Reliability via Uncertainty-Triggered FFN-Space Retracing
    Hongtao Duan, Lu Jiang, Minying Zhang, Xiaobing Zhu, Tianpeng Bu, Hao Jiang, Xinyu Wei, Lulu Hu

  • More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection
    Runze Sun, Yu Zheng, Zexuan Xiong, Zhongjin Qu, Lei Chen, Jie Zhou, Jiwen Lu

  • Specialization without Sparsity: Efficient and Expressive Split-Path Experts for LLM Fine-Tuning
    Ganghao Liu, Qin Zhou, Zhe Wang, Xuehan Lu, Haihua Huang, Yunfei Tong, Heng Tian

  • Pardon? Evaluating Conversational Repair in Large Audio-Language Models
    Shuanghong Huang, Jinlei Xu, Youchao Zhou, Yanghao Zhou, Xuan Zhao, Chong Feng, Wenxuan Zhang

  • ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway
    Jueon Park, Wonjune Jang, Chanhwi Kim, Yein Park, Jaewoo Kang

  • CVRH: Cross-modal Variational Role Hypergraph Network via Semantic Enhancement for Multi-modal Event Argument Extraction
    Bangze Pan, Yang Li, Ruili Pu, Suge Wang, Jian Liao, JianXing Zheng, Xiaoli Li, Deyu Li

  • DiffCL: Difference-Aware Contrastive Learning for Automatic Answer Grading with Multi-Level Semantic Modeling
    Lei Chen, BoYu Gao, Zitao Liu, Tingjie Wan, Weiqi Luo

  • GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning
    Kun Wang, Li Yiming, Mingcheng Qu, Aqiang Zhang, Guang Yang, Tonghua Su

  • TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation
    Bangde Du, Minghao Guo, Songming He, Ziyi Ye, Xi Zhu, Weihang Su, Shuqi Zhu, Yujia Zhou, Yongfeng Zhang, Qingyao Ai, Yiqun LIU

  • CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria
    Xinyu Hu, Yancheng He, Weixun Wang, Tao Feng, Li Lin, Jiashun Liu, Wenbo Su, Bo Zheng, Xiaojun Wan

  • Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety Alignment
    ZhixueSong, Boyan Han, Yiwei Wang, Chi Zhang

  • Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
    Zhiyang Zhang, Junda She, Kuo Cai, Bo Chen, Shiyao Wang, Xinchen Luo, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Guorui Zhou

  • Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL
    Skylar Zhai, Jingcheng Liang, Dongyeop Kang

  • Learning Through Dialogue: Engagement and Efficacy Matter More Than Explanations
    Shaz Furniturewala, Gerard Christopher Yeo, Kokil Jaidka

  • CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook
    Zeyu Chen, Jie Li, Kai Han

  • MASS: Deep Research for Social Sciences with Memory-Augmented Social Simulation
    Yongrui Liu, Deyi Xiong

  • LS-Guard: Adaptive Safety Guardrails Tailored to Individual LLMs
    Jinggui Liang, Lizi Liao

  • Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework
    Zhuoshang Wang, Yubing Ren, Yanan Cao, Fang Fang, Xiaoxue Li, Li Guo

  • Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank Substitution
    Yuhua Zhou, Shichao Weng, Changhai Zhou, Yuhuan Wu, Qian Qiao, Jun Gao, Fei Yang, Aimin Pan

  • SGG-R³: From Next-Token Prediction to End-to-End Unbiased Scene Graph Generation
    Jiaye Feng, Qixiang Yin, Yuankun Liu, Tong Mo, Weiping Li

  • Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection
    Muhammad Alif Al Hakim, Alfan Farizki Wicaksono, Fajri Koto

  • X-Router: Decoupling Knowledge and Reasoning for Cost-Effective LLM Inference
    Zixuan Wang, Yinze Ding, Zihan Wang, Jinyu Guo, Zhenhong Zhou, Junhao Dong, Chaomeng Chen

  • SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models
    Weijiang Lv, Yaoxuan Feng, Xiaobo Xia, Jiayu Wang, Yan Jing, Wenchao Chen, Bo Chen

  • HIPO: A Hierarchical Prompt Optimization Framework with Task Awareness and Fine-Grained Debugging
    Lu Qi, Lei Chai, Hongrui Yu, Binhang Qi, Hailong Sun

  • MAPLE: A Meta-learning Framework for Cross-Prompt Essay Scoring
    Salam Albatarni, May Bashendy, Sohaila Eltanbouly, Tamer Elsayed

  • RACER: Retrieval-Augmented Contextual Rapid Speculative Decoding
    Zihong Zhang, Zuchao Li, Lefei Zhang, Ping Wang, Hai Zhao

  • PEC-Home: Interpretation of Progressively Elliptical Commands in Smart Homes
    Yingyu Shan, Zeming Liu, Silin Li, Boao Qian, Jiashu Yao, Yuhang Guo, Haifeng Wang

  • Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and Practice
    Qiyao Wang, Guhong Chen, Hongbo Wang, Huaren Liu, Minghui Zhu, Zhifei Qin, Li Linwei, Yilin Yue, Shiqiang Wang, Jiayan Li, Wu Yihang, Ziqiang Liu, Longze Chen, Run Luo, Liyang Fan, Jiaming Li, Lei Zhang, Kan Xu, Hamid Alinejad-Rokny, Chengming Li, Shiwen Ni, Yuan Lin, Min Yang

  • EchoMLLM: Incentivizing Echocardiographic Video Understanding with Keyframe Grounding and Report Generation
    Heyu Huang, Wanran Sun, Chi Chen, Bo Chen, Zonghao Guo, Yuhua Li, Ruixuan Li, Kunlun He, Maosong Sun

  • HAUNTATTACK: When Attack Follows Reasoning as a Shadow
    Jingyuan Ma, Rui Li, Zheng Li, Junfeng liu, Heming Xia, Lei Sha, Zhifang Sui

  • Rethinking Multiple-Choice Questions for RLVR: Unlocking Potential via Distractor Design
    Xu Guo, Qiming Ge, Jian Tong, Kedi Chen, Jin Zhang, Xiaogui Yang, Xuan Gao, haijun Lv, Zhihui Lu, Yicheng Zou, Qipeng Guo

  • S2ST-Omni: Hierarchical Language-Aware SpeechLLM Adaptation for Multilingual Speech-to-Speech Translation
    Yu Pan, Xiongfei Wu, Yuguang Yang, Jixun Yao, Maxime Cordy, Lei Ma, Jianjun Zhao

  • G-LoRA: Global-Local Decoupled Low-Rank Adaptation
    Jiahao Xiong, Yihong Huang, Yihe Liu, Xianming Hu, Hongbo Zhao, Kai Zhang

  • Making MLLMs Blind: Adversarial Smuggling Attacks in MLLM Content Moderation
    Zhiheng Li, Zongyang Ma, Yuntong Pan, Ziqi Zhang, Xiaolei Lv, Bo Li, Jun Gao, Jianing Zhang, Chunfeng Yuan, Bing Li, Weiming Hu

  • LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries
    Xuancheng Ren, Shijing Hu, Zhihui Lu, Jiangqi Huang, Qiang Duan

  • Where meaning lives: Layer-wise accessibility of psycholinguistic features in encoder and decoder language models
    Taisiia Tikhomirova, Dirk U. Wulff

  • DynamicFocalPO: Adaptive Focusing Strategy for Preference Optimization
    Shu Zhou, Junan Chen, Rui Ling, Xin Wang, Tao Fan, Hao Wang

  • Graph-GRPO: Stabilizing Multi-Agent Topology Learning via Group Relative Policy Optimization
    Yueyang Cang

  • ReMedi: Reasoner for Medical Clinical Prediction
    Yushi Cao, Yiming Chen, Hongchao Jiang, Hung-yi Lee, Robby T. Tan

  • JX4MEI: Multimodal Semantically-Enhanced LLM for Joint Multimodal Emotion-Intent Explanation and Classification
    YiJie Huang, Xiaocui Yang, Shi Feng, Daling Wang, Yifei Zhang, Ning Yuan, Zhuoyue Jia, Wen Zhang

  • Breaking the “Provable Security”: Detecting Finite-Precision Artifacts in LLM-based Steganography via Low-Probability Vanishing
    Wenzhao Cao, Yaofei Wang, Donghui Hu

  • FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning
    Yuxi Sun, Aoqi Zuo, Haotian Xie, Wei Gao, Mingming Gong, Jing Ma

  • DRIFT: Transferring Reasoning Priors for Efficient MLLM Fine-Tuning
    Chao Huang, Zeliang Zhang, Jiang Liu, Ximeng Sun, Jialian Wu, Xiaodong Yu, Ze Wang, Chenliang Xu, Emad Barsoum, Zicheng Liu

  • Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation
    Zhenghua Wang, Yixin Wu, Feiran Zhang, Qi Qian, Changze Lv, Xuanjing Huang, Xiaoqing Zheng

  • Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding
    Lin Zhong, Siyu Zhu, Zizhen Yuan, Jinhao Cui, Xinyang Zhao, Lingzhi Wang, Hao Chen, Qing Liao

  • EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness
    Yueru Sun, Yimeng Zhang, Haoyu Gu, Nuo Chen, Dong She, Xianrong Yao, Yang Gao, Zhanpeng Jin

  • Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning
    Qi He, Cheng Qian, Xiusi Chen, Bingxiang He, Yi R. Fung, Heng Ji

  • MimicLM: Zero-Shot Voice Imitation through Autoregressive Modeling of Pseudo-Parallel Speech Corpora
    Tao Feng, Yuxiang Wang, Yuancheng Wang, Xueyao Zhang, Dekun Chen, Chaoren Wang, Xun Guan, Zhizheng Wu

  • Fine-Grained Data Ordering Improves Fine-Tuning for Large Language Models
    Xiaomeng Hu, Yixuan Tang, Haoze Li, Hao Chen, Qi Zhang, Zhanming Shen, Yiming Zhang, Haobo Wang, Junbo Zhao

  • LifeSim: Long-Horizon User Life Simulator for Personalized Assistant Evaluation
    Feiyu Duan, Xuanjing Huang, Zhongyu Wei

  • Interactive Semantic Parsing with Reinforcement Learning for Knowledge Graph Reasoning
    Yurun Song, Xiangqing Shen, Jianfei Yu, Rui Xia

  • CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning
    Alexandra Dragomir, Florin Brad, Radu Tudor Ionescu

  • Targeting the Needle, Ignoring the Haystack: Anchoring Crucial Cues for Evolving Scam Call Detection via an LLM-Assisted Classifier
    Tong Wu, Qinliang Su, Jianxing Yu, Bo Liang, Minhua Huang

  • Distributional Alignment for Large Language Models under Domain Shift
    Viet-Thanh Pham, Lizhen Qu, Zhuang Li, Gholamreza Haffari

  • Traces in the Brain: Neural Evidence for Syntactic Movement in English and Chinese
    Yuhan Huang, Zhengwu Ma, Yuqi Jin, Beth Chan, Zheng Shen, Jackie Yan-Ki Lai, John T. Hale, Jixing Li

  • LinguaGame: A Linguistically Grounded Game-Theoretic Paradigm for Multi-Agent Dialogue Generation
    Yuxiao Ye, Yiming Zhang, Yiran Ma, Huiyuan Xie, Huining Zhu, Zhiyuan Liu

  • A Dual-View Analysis of Multiple Languages in Colonial Newspapers
    Zhan Su, Xiaoya Chen, Fengran Mo, Ida L. Vos, Prayag Tiwari, Yazhou Zhang, Qian Zheng, Natália da Silva Perez

  • CARE-CR: Context-Aware Routing and Expert Fusion for Multi-Preference Cognitive Restructuring
    Hongzhi Qi, Liangcheng Wang, yijing YU, Jianqiang Li, Bing Xiang Yang, Qing Zhao

  • EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning for LLMs
    Huanyu Liu, Jia Li, Yihong Dong, Chang Yu, Taozhi Chen, Lecheng Wang, Yongding Tao, Bin Gu, Ge Li

  • Context as a Tool: Context Management for Long-Horizon SWE-Agents
    Shukai Liu, Bo Jiang, Jian Yang, Yizhi LI, Jinyang Guo, Xianglong Liu, Bryan Dai

  • Beyond Static Profiles: Capturing the Fluidity of User Preferences in Diverse Scenarios
    Chunyang Gao, Yi Huang, Jingyu Yao, Xiaoting Wu, Junlan Feng

  • Mitigating Coordinate Prediction Bias from Positional Encoding Failures
    Xingjian Tao, Yiwei Wang, Yujun Cai, Yihong Luo, Kai Han, Jing Tang

  • PerDucer: Keyphrase-Driven Personalization Inducer for Summarization from User Histories
    Parthiv Chatterjee, Asish Joel Batha, Sourish Dasgupta, Tanmoy Chakraborty

  • Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models
    Shuhao Zhang, Yuli Chen, Jiale Han, Bo Cheng, Jiabao Ma

  • UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and Mining
    Changhao Wang, Xinhao Yao

  • Don’t Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding
    Dong Zhang

  • FLASH: Focused Layer Attention Sink Hijacking
    Siyuan Deng, Yerong Li, Fanhua Shang, Hongying Liu

  • SPIDE: Serial and Parallel Intertwined Speculative Decoding
    Wenru Xu, Peixuan Xu, Zigi Yang, Ming Hu, Zihui Wang, Jianzhong Qi, Rongshan Yu, Xiaoliang Fan, Cheng Wang

  • MdEval: Massively Multilingual Code Debugging
    Shukai Liu, Linzheng Chai, Jian Yang, Jiajun Shi, He Zhu, Liran Wang, Ke Jin, Wei Zhang, Hualei Zhu, Shuyue Guo, Tao Sun, Jiaheng Liu, Yunlong Duan, Yu Hao, Liqun Yang, Guanglin Niu, Ge Zhang, Zhoujun Li

  • Breaking Consensus Bias: Unsupervised Reinforcement Learning for Machine Translation
    Shuting Jiang, Ran Song, Siqi Zhang, Yuxin Huang, Shengxiang Gao, Zhengtao Yu

  • Reasoning-Aware AIGC Detection via Alignment and Reinforcement
    Zhao Wang, Max Xiong, Jianxun Lian, Zhicheng Dou

  • Beyond Modality Collapse: Taming Guided Modality Entropy for Omni-modal Emotion Reasoning
    Xian Zhao, Rui Hu, Yuxiang Zhang, Delai Qiu, Yining Wang, Shengping Liu, Jian Yu, Jitao Sang

  • ID10M-JAM: Stress-Testing Idiom Identification Under Challenging Context
    Kai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, Alon Mannor, Bar Cohen, Kfir Bar

  • MENTOR: Mitigating Identity Drift in Dynamic Role-Playing via Dual-Chain Structured Memory
    Zhu zhuoning, Xingyu Gao, Hailong Shi

  • Beyond Benchmarks: A Capability-Based Maturity Model for Systematic AI Integration in Hospitals
    Rui Li, Xiaofen Wu, Mingqian Liu, Xiaoxia Song, Xu Xiangjun, Jiacheng Qiao, Zhuang Boqin, Xu Chen

  • DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding
    Guanghao Li, Zhihui Fu, Min Fang, Qibin Zhao, Ming Tang, Chun Yuan, Jun Wang

  • TENP: Trapezoidal Expert Neuron Pruning For Mixture-of-Experts
    Jiangyang He, shaolin Zhu, Deyi Xiong

  • FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow
    Bihao Zhan, Zongsheng Cao, Jie Zhou, Bo Zhang, Liang He

  • OntoGuard: Enforcing Action Admissibility for LLM Agents in Complex Interactive Environments
    Pengxiang Liu, Tao Ren, Wei Xiong, Tingrui Yang, Junjie Wang, Jun Hu

  • Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS
    Shijia Xu, Zhou Wu, Xiaolong Jia, Yu Wang, Kai Liu, April Xiaowen Dong

  • DiffER: Diffusion Entity-Relation Modeling for Reversal Curse in Diffusion Large Language Models
    Shaokai He, Kaiwen Wei, Xinyi Zeng, Xiang Chen, Xue Yang, Zhenyang Li, Jiang Zhong, Yu Tian

  • Layer-aware Dual-directional Modulation for Low-resource Machine Translation
    Siqi zhang, Ran Song, Shuting Jiang, Yuxin Huang, Zhengtao Yu

  • MATCHA: Matching Text via Contrastive Semantic Alignment
    Siran Li, Ece Sena Etoglu, Carsten Eickhoff, Seyed Ali Bahrainian

  • PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs
    Zijing Wang, YongKang Liu, Mingyang Wang, Ercong Nie, Deyuan Chen, Zhengjie Zhao, Shi Feng, Daling Wang, Xiaocui Yang, Yifei Zhang, Hinrich Schuetze

  • Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects
    Jun Zhang, Yicheng Ji, Feiyang Ren, Yihang Li, Bowen Zeng, Zonghao Chen, Ke Chen, Lidan Shou, Gang Chen, Huan Li

  • Adaptive Zooming via Relevance-Informed Positional Resource Allocation for Training-free LLM Context Extension
    Hongbo Zhao, Huibin Wang, Bin Tang, Xianming Hu, Yihong Huang, Yijun Shen, Nuoyi Chen, Ping Li, Kai Zhang

  • Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling
    Zhenghua Wang, Yiran Ding, Changze Lv, Yixin Wu, Tianlong Li, Zhibo Xu, Muling Wu, Tianyuan Shi, Shizheng Li, Qi Qian, Xuanjing Huang, Xiaoqing Zheng

  • Semantic-pragmatic Annotations in the Prague Dependency Treebank
    Marie Mikulova, Eva Hajicova, Jiri Mirovsky, Anja Nedoluzhko, Michal Novak, Pavlina Synkova, Jan Stepanek, Barbora Stepankova, Jan Hajic

  • Penetrating Linguistic Disguises: A Slang-aware Label-Aligned Framework for Fine-Grained Toxicity Extraction in Chinese Hate Speech Detection
    Wei Liu, Xiaoliang Chen, Duoqian Miao, Xu Gu, Xianyong Li, Yajun Du

  • LightMoE: Task-Aware Expert Availability Management for Memory-Efficient MoE-LLM Inference
    Puhan Luo, Yunhao Yao, Junyang Wang, Junyang Zhang, Xiangyang Li

  • SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
    Zheng Li, Qingxiu Dong, Jingyuan Ma, Di Zhang, Kai Jia, Zhifang Sui

  • Streaming Hallucination Detection in Long Chain-of-Thought Reasoning
    Haolang Lu, Minghui Pan, Ripeng Li, Guoshun Nan, Jialin Zhuang, Zijie Zhao, Zhongxiang Sun, Kun Wang, Yang Liu

  • Training-Free Adaptive Speculative Decoding via Linguistic Priors
    jingyi Wang, Jiaqi Huang, Zunnan Xu, Jun Zhou, Kehong Yuan, xiang Qian

  • Knowledge-Infused Multi-Bit Watermarking for RAG Knowledge Bases
    Ke Yang, Shuguang Yuan, Jing Yu, Chi Chen

  • ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis
    Hao Wang, Jindong Han, Wei Fan, Hao Liu

  • CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question Answering
    Tong Lu, Zhichun Wang, Yuanhao Sun, Yaoyu Zhou, Mingrui Li, Yiming Guan, Zhiyong Bai

  • CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs
    Qiuyi Qi, Jinjian Zhang, Mutian Bao, Tian Liang, Guocong Li, Dongnan Liu, Wei Zhou, Jie Liu, Ming Kong, Linjian Mo, Feng Zhang, Qiang Zhu

  • ChildEval:WHEN LARGE LANGUAGE MODELS MEET CHILDREN’S PERSONALITIES
    Yanyan Luo, Xue Han, Chunxu Zhao, Ruiqiao Bai, Yaxing Zhang, Qian Hu, Lijun Mei, Junlan Feng

  • Belief in Authority: Impact of Authority in Multi-Agent Evaluation Framework
    Junhyuk Choi, Jeongyoun Kwon, Heeju Kim, Haeun Cho, Hayeong Jung, Sehee Min, Bugeun Kim

  • ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model
    Ruirui Wang, Haoran Zhang, Tian Lan, Zehua Duo, Jiang Li, Guanglai Gao, Xiangdong Su

  • StateX: Enhancing RNN Recall via Post-training State Expansion
    Xingyu Shen, Yingfa Chen, Zhen Leng Thai, Xu Han, Zhiyuan Liu, Maosong Sun

  • TOXIFRENCH: Benchmarking and Enhancing Language Models via CoT Fine-Tuning for French Toxicity Detection
    Axel Delaval, Shujian Yang, Haicheng Wang, Han Qiu, Jialiang LU

  • Memory-Guided Hard Data Augmentation for Multimodal Named Entity Recognition
    Xinyu Liu, Kai fu, Yinghan Shi, Quanyou Chu, Ming Du, Hongya Wang, Xiaojun Meng, Jiansheng Wei, Yanghua Xiao, Bo Xu

  • DUET: Joint Exploration of User–Item Profiles in Recommendation System
    Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yifei Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang

  • ATAAT: Adaptive Threat-Aware Adversarial Tuning Framework against Backdoor Attacks on Vision-Language-Action Models
    Kewei Chen, Yayu Long, Shuai Li, Mingsheng Shang

  • CoTrust: Privacy-Preserving Collaboration Between Large and Small Language Models in Trusted Execution Environments
    Zhenya Ma, Tingyi Wang, Yongheng Deng, Ziqing Qiao, Yinggui Wang, Tao Wei, Lei Wang, Ju Ren

  • FAQ: Mitigating Quantization Error via Regenerating Calibration Data with Family-Aware Quantization
    Haiyang Xiao, Weiqing Li, Jinyue Guo, Guochao Jiang, Guohua Liu, Yuewei Zhang

  • HACHIMI: Scalable and Controllable Student Persona Generation via Orchestrated Agents
    Yilin Jiang, Fei Tan, Xuanyu Yin, Leng Jing, Aimin Zhou

  • D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation
    Junlin Li, Shuangyong Song, Guodong Du, Ngai Wong, Xuebo Liu, Yongxiang Li, Min Zhang, Jing Li, Xuelong Li

  • Beyond Static Toolsets: Self-Evolving LLM Tool Agents via Continual Documentation Adaptation
    Bin Wu, Edgar Meij, Emine Yilmaz

  • ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction
    Lvhua Wu, Xuefeng Jiang, Sheng Sun, Yan Lei, Tian Wen, Yuwei Wang, Min Liu

  • SenseJudge: Human-Centric Preference-Driven Judgment Framework
    Rui Li, Junfeng liu, Xiangwen Kong, Zhifang Sui

  • Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning
    Junseok Kim, Nakyeong Yang, Kyungmin Min, Kyomin Jung

  • CLaS-Bench: A Cross-Lingual Alignment and Steering Benchmark
    Daniil Gurgurov, Yusser Al Ghussin, Tanja Baeumel, Cheng-Ting Chou, Patrick Schramowski, Marius Mosbach, Josef van Genabith, Simon Ostermann

  • From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent
    Mingyu Huang, Weiqing Min, Ying Jin, Yilin Wang, Shuqiang Jiang

  • PsyPath: Psychologically-guided Self-Exploration for Personality Detection
    Zheng Li, Hongxin Ding, Chenyu Zhang, Weimin Xiong, Dawei Zhu, Sujian Li

  • CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs
    Xingcheng Zhou, Hao Guo, Rui Song, Walter Zimmer, Mingyu Liu, André Schamschurko, Hu Cao, Alois Knoll

  • PROGRAM: Programmatic Retrieval Optimization with Generative Reasoning and Augmented Multi-queries
    Gun Il Kim, Jungkyu Shin, Jong Wook Kim, Beakcheol Jang

  • TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents
    Kai Li, Xuanqing Yu, Ziyi Ni, Yi Zeng, Yao Xu, Zheqing Zhang, Xin Li, Jitao Sang, Xiaogang Duan, Xuelei Wang, Chengbao Liu, Jie Tan

  • GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis
    Shaoting Tan, Ning Liu, Yuntao Du, Shuyue Wei, Wu Shuai, Qian Li, Yanyu Xu, Wei Zhang, Lizhen Cui, Haitao Yuan

  • ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction
    Wenda Liu, SongZhigang, Shuai Nie, Guangyao Liu, Lisung Chen, Binyu Yang, Yaran Chen, Peng Zhou, Hongzhen Wang, Yuchen Liu, Wenyue Hu, Jiaming Xu, Runyu Shi, Ying Huang

  • MAVIS: Multi-Agent Video Retrieval via Structured Video Understanding
    Jie Zhang, Qilang Ye, Hao Zhou, Haochen Liang, Fei Luo

  • ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided Decoding
    Sangjun Song, Minjae Oh, Seungkyu Lee, Sungmin Jo, Yohan Jo

  • MSIA: Adaptive Medical Multimodal Multi-turn Semantic Jailbreak
    Zhiheng Han, Yao Zhang, Jun Wang, Zhenglu Yang

  • Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
    Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee

  • ETHICA-MT: Introducing a Framework and Dataset for Studying Ethical Orientations in LLM-based Machine Translation
    Omri Asscher, Arif Ahmad, Ananya Agrawal, Monojit Choudhury

  • ArgBench: Benchmarking LLMs on Computational Argumentation Tasks
    Yamen Ajjour, Carlotta Quensel, Nedim Lipka, Henning Wachsmuth

  • Generics are not quantificational: A new path from language models to semantic theory
    Gustavo Cilleruelo Calderón, Mahrad Almotahari, Emily Allaway, Barry Haddow, Alexandra Birch

  • Beyond Neural Incompatibility: Cross-Scale Knowledge Transfer in Large Language Models through Latent Semantic Alignment
    Jian Gu, Aldeida Aleti, Chunyang Chen, Hongyu Zhang

  • CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge
    Seyun Bae, Seokhan Lee, Eunho Yang

  • Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective
    Beiduo Chen, Tiancheng Hu, Caiqi Zhang, Robert Litschko, Anna Korhonen, Barbara Plank

  • CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning
    Minkyoung Kim, Daeun Ji, Yohan Lee, Beomsoo Kim, Beakcheol Jang

  • INDOTABVQA: A Benchmark for Cross-Lingual Table Understanding in Bahasa Indonesia Documents
    Somraj Gautam, Anathapindika Dravichi, Gaurav Harit

  • Cross-Cultural Transfer of Emoji Semantics and Sentiment in Financial Social Media
    Ahmed Mahrous, Roberto Di Pietro

  • EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL
    Jaehoon Lee, ChelWon Na, Suyoung Bae, Jin-Seop Lee, Jihyung Lee, YunSeok Choi, Jee-Hyong Lee

  • Synapse: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation
    Hanqi Jiang, Junhao Chen, Yi Pan, Ling Chen, Weihang You, Yifan Zhou, Ruidong Zhang, Yohannes Abate, Tianming Liu

  • Similarity-Distance-Magnitude Activations
    Allen Schmaltz

  • SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation
    Shuang Cheng, Yihan Bian, Dawei Liu, Yuhua Jiang, Yihao Liu, Linfeng Zhang, Qian Yao, Zhongbo Tian, Wenhai Wang, Qipeng Guo, Kai Chen, Biqing Qi, Bowen Zhou

  • Comparing Human and Large Language Model Interpretation of Implicit Information
    Antonio De Santis, Tommaso Bonetti, Andrea Tocchetti, Marco Brambilla

  • Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification
    Peng Zhou, Guangxin Li, Xiaoying Huang, Yiming Tang

  • Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models
    Ragib Amin Nihal, Rui Wen, Kazuhiro Nakadai, Jun Sakuma

  • Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational Recommendation
    Hyeongjun Yang, Donghyun Kim, Seokju Hwang, Midan Shim, KyuHwan Yeom, KaeHyun Um, Kyong-Ho Lee

  • PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor
    Qianjun Pan, Junyi Wang, Jie Zhou, Yutao Yang, Junsong Li, Kaiyin Xu, Yougen Zhou, Yihan Li, JingYuan Zhao, Qin Chen, Ningning Zhou, Kai Chen, Liang He

  • GrandGuard: Taxonomy, Benchmark, and Safeguards for Elderly-Chatbot Interaction Safety
    Changxuan Fan, Xi Yang, Yueyuan Zheng, Bin Zhou, Yuanping WANG, Wenbin Hu, Huihao JING, Ki Sen Hung, Dazhao Du, Haoran Li, Janet Hui-wen Hsiao, Yangqiu Song

  • SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration
    Yinhao Tang, Youqing Fang, Yanan Sun, Wenran Liu, Weiming Zhang, Bin Liu, Kuikun Liu, Wenwei Zhang, Kai Chen

  • When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models
    Yingzhi Mao, Chunkang Zhang, Junxiang Wang, Xinyan Guan, Boxi Cao, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun

  • NASH: Numerically Aware Scoring Heuristic for Robust Semantic Similarity
    Yu-Shiang Huang, Yun-Yu Lee, Tzu-Hsin Chou, Che Lin, Chuan-Ju Wang

  • Beyond Query Bias: Candidate-Aware Iterative Refinement for Zero-Shot Composed Image Retrieval
    Nan Sun, Jing Tang, Lei Sun, Rui Chen, Yuxing Lu, Xiangxiang Chu, Hefei Ling, Yujun Cai

  • Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners
    Yihong Liu, Raoyuan Zhao, Hinrich Schuetze, Michael A. Hedderich

  • Towards Scalable Lightweight GUI Agents via Multi-role Orchestration
    Ziwei Wang, Junjie Zheng, Leyang Yang, Sheng Zhou, Xiaoxuan Tang, Fang Zhouhua, Zhiwei Liu, Dajun Chen, Yong Li, Jiajun Bu

  • Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning
    Yuyang Hu, Jiongnan Liu, Jiejun Tan, Yutao Zhu, Zhicheng Dou

  • Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format
    Dingzirui Wang, Xuanliang Zhang, Rongyu Cao, Longxu Dou, Xianzhen Luo, Yingwei Ma, Qingfu Zhu, Binhua Li, Fei Huang, Yongbin Li

  • Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge Tracing
    Jun Seo, Sangwon Ryu, Heejin Do, Hyounghun Kim, Gary Geunbae Lee

  • Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMs
    Xiaoyang Liu, Dawei Wang, Tian Li, Huizhi Liang, Gary Ushaw, Richard Davison

  • E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition
    MengZhang, Jinzhong Ning, Xiaolong Wu, Hongfei Lin, Yijia Zhang

  • Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient Reasoning
    Yi Sui, Chaozhuo Li, Dawei Song

  • Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control
    Changhao Jiang, Jiahao Chen, Zhenghao Xiang, Zhixiong Yang, Hanchen Wang, Jiabao Zhuang, Xinmeng Che, Jiajun Sun, Hui Li, Yifei Cao, Shihan Dou, Ming Zhang, Junjie Ye, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang

  • Distilling LLM Reasoning into Dense Encoders: Bridging the Accuracy-Efficiency Gap in Recommendation
    Donghee Han, Daeyoung Roh, A Young Kim, Hwanjun Song, Mun Yong Yi

  • Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing
    Chunyu Ye, Yunhao Zhang, Jingyuan Sun, Chong Li, Yang Zhao, Shaonan Wang

  • Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinement
    Midan Shim, Seokju Hwang, KaeHyun Um, Kyong-Ho Lee

  • A Self-Evolving LLM Agent Framework for Role-Based Norm Compliance in Healthcare
    Haijie Ruan, Xiaowu Jiang, Zhanpeng LI, Wei Jia, Xuanwu Xu, Xiao-Fen Shan, Shujie Chen, Xindong Ye

  • M3TQA: Massively Multilingual Multitask Table Question Answering
    Daixin Shu, Jian Yang, Zhenhe Wu, Xianjie Wu, Xianfu Cheng, GuanXiangyuan, Yanghai Wang, Pengfei Wu, Tingyang Yang, Hualei Zhu, Wei Zhang, Ge Zhang, Jiaheng Liu, Zhoujun Li

  • ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction
    Zichun Guo, Yuling Shi, Wenhao Zeng, Chao Hu, Haotian Lin, Terry Yue Zhuo, Jiawei Chen, Xiaodong Gu, Wenping Ma

  • TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination
    Omar Naim, Krish Sharma, Niyar R Barman, Nicholas Asher

  • Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing
    Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao

  • RACC: Regret-Aware Confidence Calibration for Consistent Masked Discrete Diffusion Decoding
    Qinglin Zeng, Jusheng Zhang, Jing Yang, Ningyuan Liu, Keze Wang

  • The Impact of Off-Policy Training Data on Probe Generalisation
    Adrians Skapars, Nathalie Kirch, Samuel Dower, Ekdeep Lubana, Dmitrii Krasheninnikov

  • GR1: Reinforcement-Enhanced LLM for Geoscience Reasoning
    Yule Xie, Jiaxin Ding

  • FOCUS: A Fine-Grained Customer-Oriented Sentiment Dialogue Summarization Dataset for Chinese Customer Service
    Qian Chen, Mengqiang Hu, Xin GUO

  • ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development
    Jie Yang, Honglin Guo, Li Ji, Jiazheng Zhou, Rui Zheng, Zhikai Lei, Shuo Zhang, Zhiheng Xi, Shichun Liu, Yuxin Wang, Bo Wang, Yining Zheng, Tao Gui, Xipeng Qiu

  • LiveCANNBench: Benchmark SWE AI Coding for Ascend CANN
    Sijie Wang, Kai Zhao, Wee Peng Tay, Shuo Zhang, Chengwen Liu, Quanjiang Guo, Ren Junhao, Xin Li, Heng Lian, Jingdi Lei, Rui She, Huacan Wang, Ronghao Chen

  • When Models Decide and When They Bind: A Two-Stage Computation for Multiple-Choice Question Answering
    Hugh Mee Wong, Rick Nouwen, Albert Gatt

  • Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains
    Finn Schmidt, Jan Philip Wahle, Terry Ruas, Bela Gipp

  • Stress-Testing Emotional Support Models: Moving from Homogeneous to Diverse Help Seekers
    Chaewon Heo, Cheyon Jin, Yohan Jo

  • Progressive Planning and Reinforced Reasoning: Large Language Model-Guided Multi-hop Question Answering over Knowledge Graph
    Xiang Li, Runhai Jiao, Ruifan Li, Dongnan Wu, Ruojiao Qiao, Lei Liu

  • AED-RAG: Continuous Multi-Granular Context Fusion for Retrieval-Augmented Generation via Adaptive Ensemble Decoding
    Junzhe Zhou, Fulin Lin, Tairan Cheng, Shaowen Chen, Hongwei Wang

  • Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models
    Guoming Ling, Zhongzhan Huang, Yupei Lin, Junxin Li, Shanshan Zhong, Hefeng Wu, Liang Lin

  • GOAT: A Training Framework for Goal-Oriented Agent with Tools
    Hyunji Min, Sangwon Jung, Junyoung Sung, Dosung Lee, Leekyeung Han, Paul Hongsuck Seo

  • LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning
    Adam Ishay, Joohyung Lee

  • DRIV-EX: Counterfactual Explanations for Driving LLMs
    Amaia Cardiel, Eloi Zablocki, Elias Ramzi, Eric Gaussier

  • ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding
    Xueyun Tian, Wei Li, Bingbing Xu, Heng Dong, Yuanzhuo Wang, Huawei Shen

  • Towards Provably Secure Generative AI: Reliable Consensus Sampling
    Yu Cui, Hang Fu, Sicheng Pan, Zhuoyu Sun, Yifei Liu, Yuhong Nie, Bo Ran, Baohan Huang, Xufeng Zhang, Haibin Zhang, Cong Zuo, Licheng Wang

  • Pause or Fabricate? Training Language Models for Grounded Reasoning
    Yiwen Qiu

  • AgentV-RL: Scaling Reward Modeling with Agentic Verifier
    Jiazheng Zhang, Ziche Fu, Zhiheng Xi, Wenqing Jing, Mingxu Chai, Wei He, Guoqiang Zhang, Chenghao Fan, Chenxin An, Wenxiang Chen, Zhicheng Liu, Haojie Pan, Dingwei Zhu, Tao Gui, Qi Zhang, Xuanjing Huang

  • DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration
    Yanru Huo, Ziyue Jiang, Zuoli Tang, Qingyang Hong, Zhou Zhao

  • DcLM: Output Length Control of Large Language Models via Dynamic Length Markers
    Zhe Chen, Jiaao Yu, Honglin Li

  • LongMP-Bench: A Benchmark for Multimodal Persona Understanding in Long-Term Dialogues
    Zhuoqun Li, Zhaopei Huang, Wenxuan Wang, Qin Jin

  • TOOLCAD: Exploring Tool-Using Large Language Models in Text-to-CAD Generation with Reinforcement Learning
    Yifei Gong, Xing Wu, Wenda Liu, Kang Tu

  • Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue Summarization
    Xiaoyong Mei, Tingting Zuo, Da Chen, Guangyu Hu, Xiangyu Wen, Chao Duan, Mingyan Zhang, Fudan Zheng

  • From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization
    Chenxi Zhou, Pengfei Cao, Jiang Li, Bohan Yu, Jinyu Ye, Jun Zhao, Kang Liu

  • Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings
    Ryo Kishino, Yusuke Takase, Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira

  • Simple Role Assignment is Extraordinarily Effective for Safety Alignment
    Zhou Ziheng, Jiakun Ding, Zhaowei Zhang, Ruosen Gao, Ying Nian Wu, Demetri Terzopoulos, Yipeng Kang, Fangwei Zhong, Junqi Wang

  • Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
    Chenxi Zhou, Pengfei Cao, Jiang Li, Bohan Yu, Jinyu Ye, Jun Zhao, Kang Liu

  • MemPO: Self-Memory Policy Optimization for Long-Horizon Agents
    Ruoran Li, Xinghua Zhang, Haiyang Yu, Shitong Duan, Xiang Li, Wenxin Xiang, Chonghua Liao, Xudong Guo, Yongbin Li, Jinli Suo

  • Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty
    Chao Xue, Yao Wang, Mengqiao Liu, Di Liang, Xingsheng Han, Peiyang Liu, Xianjie Wu, Chenyao Lu, Lei Jiang, Yu Lu, Haibo Shi, Shuang Liang, Minlong Peng, Flora D. Salim

  • Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction
    Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi Pari, Kwonjoon Lee, Tianlong Chen

  • DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack
    Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Shi Wang, Li Guo

  • PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality
    Zeyuan Chen, Ziqing Yang, Yihan Ma, Michael Backes, Yang Zhang

  • MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning
    Xukai Wang, Xuanbo Liu, Mingrui Chen, Haitian Zhong, Xuanlin Yang, Bohan Zeng, Jinbo Hu, Hao Liang, Junbo Niu, Xuchen Li, Ruitao Wu, Ruichuan An, Yang Shi, Liu Liu, Qiang Liu, Zhouchen Lin, Xu-Yao Zhang, Wentao Zhang, Bin Dong

  • Privacy Risks of Intermediate Representations: Attribute Inference in Distributed LLM Inference
    Yang Lyu, Jin Cao, Yang Xiao, Zhe Sun, Ben Niu, Fenghua Li, Hui Li

  • ReCon: Active Defense against Large Vision-Language Model Jailbreaks via Reverse Safety Concept Injection
    Zheng He, Yiwei Wang, Hongxing Wang, Yujun Cai

  • Verifying the Subjective: Structured Multilingual Rewards for Low-Resource Alignment
    Jiu Sha, Yu Weng, Zeshuo Liu, Jingyi Jiang, Zheng Liu, Mengxiao Zhu

  • Memory-Driven Role-Playing: Evaluation and Enhancement of Persona Knowledge Utilization in LLMs
    Kai Wang, Haoyang You, Yang Zhang, Zhongjie Wang

  • Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP
    Thanmay Jayakumar, Deepon Halder, Raj Dabre

  • Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context
    Zhihao Zhang, Liting Huang, Guanghao Wu, Preslav Nakov, Heng Ji, Usman Naseem

  • LLM Inductive Reasoning Through Multi-Agent Enhanced Monte Carlo Tree Search
    Xiang Li, Yucheng Zhou, Xiangzhi Wei, Zesheng Shi, Haiyuan Wan, Gong Yifan, Fangming Liu, Jing Li

  • UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning
    Xiaolong Wei, Zerun Zhu, Simin Niu, Xingyu Zhang, Peiying Yu, Changxuan Xiao, Yuchen Li, Jicheng Yang, Zhejun Zhao, Chong Meng, Long Xia, Daiting Shi

  • FFN Lens: How Transformers Divide Labor for Multilingual Tasks
    Jiatong Li, Hailong Cao, Yang Liu

  • Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science
    Sifan Wu, Huan Zhang, Yizhan Li, Farshid Effaty, Hongyuan Mei, Amirreza Ataei, Bang Liu

  • RLShield: Dynamic Jailbreak Detection for LLMs via Reinforced Adaptive Learning
    Zhao Tong, Pengfei Yang, Yimeng Gu, Haichao Shi, Qiang Liu, Xingcheng Xu, Shu Wu, Xiao-Yu Zhang

  • MEDSYN: Benchmarking Multi-EviDence SYNthesis in Complex Clinical Cases for Multimodal Large Language Models
    Boqi Chen, Xudong Liu, Jiachuan Peng, Marianne Frey-Marti, Kyle Lam, Bang Zheng, Lin Li, Jianing Qiu

  • Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering
    Anas Mohamed, Azal Ahmad Khan, Xinran Wang, Ahmad Faraz Khan, Shuwen Ge, Saman Bahzad Khan, Ayaan Ahmad, Ali Anwar

  • BNLP: A Text Annotation Platform for Quality Control of LLM-Generated Annotations
    Xinhao Zhuang, Qiongyu Tian, Yalin Chen, Tianle Xin, Yongyong Fu, Yunchao Ling, Guoqing Zhang

  • ElasticFlow: One-Step Physics-Consistent Policy with Elastic Time Horizons for Language-Guided Manipulation
    Kewei Chen, Yayu Long, Shuai Li, Mingsheng Shang

  • AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations
    Yifei Yao, Hanrong Zhang, Mengnan Du

  • Experience-Driven Multi-Agent Optimization for Black-Box Jailbreak Attacks on Large Language Models
    Zhaoyang Han, Yihe Liu, Kai Zhang, Ping Li

  • CMIG: Conceptual Metaphor Theory-Inspired Framework for Metaphorical Image Generation
    Qingbao Huang, Cheng Yang, Jiawei Yao, Zhiyue Liu, Yi Cai, Xingmao Zhang

  • Position: From Noise to Signal to Selbstzweck - Reframing Human Label Variation in the Era of Post-training in NLP
    Shanshan Xu, Santosh T.Y.S.S, Barbara Plank

  • Rethinking Assessments of Prompt Injection Attacks
    Chi Cui, Yixin Wu, Michael Backes, Yang Zhang

  • SegDRE: A Salient Entity Guided Approach to Document-Level Relation Extraction
    Xing Yang, Chengxiang Tan

  • Live-Aid: A Large-Scale Dialogue Dataset and Benchmark for Interleaved Multi-party Interactions in Live Streaming
    Yiming Lei, Yize Fan, Zeming Liu, Jiaji Dong, Hui Qiu, Haitao Leng, Qingjie Liu, Kehai Chen, Tingting Gao, Yunhong Wang

  • Semi-Supervised Diseased Detection from Speech Dialogues with Multi-Level Data Modeling
    Xingyuan Li, Mengyue Wu

  • From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation
    Pujun Zheng, Jiacheng Yao, Jinquan Zheng, Chenyang Gu, Guoxiu He, Jiawei Liu, Yong Huang, Tianrui Guo, Wei Lu

  • UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning
    Yifan Wang, Yun Fu

  • AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasks
    Chau Minh Pham, Zichao Wang, Puneet Mathur, Alexa Siu, Akriti Jain, Aparna Garimella, Ananya B. Sai, Nedim Lipka, Mohit Iyyer, Varun Manjunatha

  • BizCompass: Benchmarking the Reasoning Capabilities of LLMs in Business Knowledge and Applications
    Jianing Hao, Yuhe Wu, Yuanjian Xu, Shichang Meng, Shuai Yuan, Wei Zeng, Zixuan Wang, Guang Zhang

  • When More Thinking Hurts: Overthinking in LLM Test-Time Compute Scaling
    Shu Zhou, Rui Ling, Junan Chen, Xin Wang, Tao Fan, Hao Wang

  • Learning from Failures: Error Notebook-guided Secure Code Generation
    Xinyu Zhong, Peng Lan, Zhifang Liao

  • Evaluating Reasoning Models for Queries with Presuppositions
    Rose Sathyanathan, Kinshuk Vasisht, Danish Pruthi

  • GRE Score: Generative Risk Evaluation for Large Language Models
    Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho

  • MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation
    Haoyuan Shi, Yunxin Li, Nanhao Deng, Zhenran Xu, Xinyu Chen, Longyue Wang, Baotian Hu, Min Zhang

  • M-TRACE: Detecting and Mitigating Time-Anchor Drift via Step-wise Conflict Checking in Temporal Reasoning
    Danyu Huang, Jiayuan Jiang, Yao Zhang, Jun Wang, Huijia Li, Zhenglu Yang

  • Faithful Persona Steering under Incongruity via Dual-Stream Refinement
    Yu-An Chu, Jen-Ren Pong, Chia-Yao Yeh, Meng-Fen Chiang

  • ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding
    Xuanle Zhao, Xinyuan Cai, Xiang Cheng, Xiuyi Chen, Bo XU

  • SDC-LoRA: Singular-Subspace Drift Controlled LoRA to Mitigate Knowledge Forgetting
    Geyuan Zhang, Xiaofei Zhou, Shihao Liu, Jingyuan Tian, Jizheng Ma

  • Regret-Now: A Physics-Inspired Regret Framework for Temporal Knowledge Graph Question Answering with LLMs
    Danyu Huang, Yao Zhang, Jun Wang, Zhenglu Yang

  • Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
    Guanhua Huang, Tingqiang Xu, Mingze Wang, Qi Yi, Xue Gong, Siheng Li, Ruibin Xiong, Kejiao Li, Yuhao Jiang, Bo Zhou

  • Preserving Language Capabilities in Vision-Language Models via Representation Regulation
    Zixuan Chen, Juncheng Tao, Ziqian Zheng

  • Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced Interaction
    Shuoxin Wang, ChangLiu, Gowen Loo, Lifan Zheng, Kaiwen Wei, Huanqian Yan, Xinyi Zeng, Jingyuan Zhang, Yu Tian

  • Dynamic PMI-Guided Contrastive Decoding Reduces Hallucination in Large Language Models: A Unified Framework of Fine-Grained Input Transformations
    Dongsheng Chen, Yingqi Zhu, Xingyue Zhang, Wenqing Zhou, Lei Li

  • LSEG: A Fine-tuning Free Method for NL2FOL via Logic-Structure and Entropy Guided Inference Controlling
    Yuwei Huang, Shi Wang, Kangli Zi, Tianyu Luo, Jiang Zhixiao, Ruiheng Wang, Yufei Wang

  • Compact Example-Based Explanations for Language Models
    Loris Schoenegger, Benjamin Roth

  • MedCPI: A Construct–Personalize–Integrate Framework for KG-enhanced Clinical Prediction
    Hang Wang, Hang Dong, Lu Liu

  • Across Programming Language Silos: A Study on Cross-Lingual Retrieval-Augmented Code Generation
    Qiming Zhu, Jialun Cao, Xuanang Chen, Weili Zhang, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Shing-Chi Cheung

  • ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
    Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, YiFan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen

  • Disentangling Continued Pre-Training: Attention-Driven Routing and Semantic Hub Preservation in Language Adaptation
    Khanh-Tung Tran, Vinh-Khanh Tran, Barry O’Sullivan, Hoang D. Nguyen

  • Do You Get the Hint? Benchmarking LLMs on the Board Game Concept
    Ine Gevers, Walter Daelemans

  • Topic-Based Watermarks for Large Language Models
    Alexander Nemecek, Yuzhou Jiang, Erman Ayday

  • SParK-Eval: Evaluating Structure-Aware Knowledge Acquisition in LLMs for Domain Adaptation to Industrial Records
    Ekant Muljibhai Amin, Yuta Koreeda, Yasuhiro Sogawa

  • SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning
    Jichao Wang, Liuyang Bian, YufengZhou, Han Xiao, Yue Pan, Guozhi Wang, Hao Wang, Zhaoxiong Wang, Yafei Wen, Xiaoxin Chen, Shuai Ren, Lingfang Zeng

  • Kumatigi: Quality-Driven Data Augmentation for Low-Resource Machine Translation
    Cheick Tidiani Cissé

  • CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations
    Xiangning Yu, Yuwei Guo, Yuqi Hou, Xiao Xue, Qun Ma

  • MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis
    Xingle Xu, YongKang Liu, Dexian Cai, Shi Feng, Xiaocui Yang, Daling Wang, Yifei Zhang

  • C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs
    Xuan Feng, Bo An, Tianlong Gu, Liang Chang, Fengrui Hao, Peipeng Yu, Shuai Zhao

  • Deconstruct, Diagnose, and Deliberate: A Protocol-Adaptive Role-Specific Multi-Agent Framework for Fake News Detection
    Zhigan Zhang, Jie Sui

  • Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
    Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P Gomes, Bart Selman, Qingsong Wen

  • E³-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning
    Weiyang Guo, Zesheng Shi, Liye Zhao, Jiayuan Ma, Zeen Zhu, Junxian He, Min Zhang, Jing Li

  • EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks
    Yijie Lu, Manman Zhao, Tianjie Ju, Zihe Yan, Xinbei Ma, Yuan Guo, Daizong Ding, Gongshen Liu, Zhuosheng Zhang

  • NEAT: Neuron-Based Early Exit for Large Reasoning Models
    Kang Liu, YongKang Liu, Xiaocui Yang, Peidong Wang, Wen Zhang, Shi Feng, Yifei Zhang, Daling Wang

  • From “Thinking” to “Justifying”: Aligning High-Stakes Explainability with Professional Communication Standards
    Chen Qian, Yimeng Wang, Yu Chen, Lingfei Wu, Andreas Stathopoulos

  • EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval
    Yifan Song, Xingjian Tao, Zhicheng Yang, Yihong Luo, Jing Tang

  • PURE: Post-hoc Unlocking and REfinement for Discrete Diffusion Decoding
    Yangryeol Park, Kunhui Lee, Hanback Choi, Cheoneum Park, Donghyeon Jeon, Inho Kang, Seung-Hoon Na

  • OSCR-Attack: One-Shot Character Level Attacks through Self-Optimizing Continuous Relaxation
    Lingyi Kong, Zhuo Liu, Zhanghao Hu, Qilong Qiu, Yutao Yang, Jingjing Xue, Zheng Wang, Lin Gui, Feiping Nie

  • MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch
    Nikolay Banar, Ehsan Lotfi, Jens Van Nooten, Cristina Arhiliuc, Marija Kliocaite, Walter Daelemans

  • Perceptual Hallucination in Vision–Language Models: Definition, Analysis and Verification
    Taewook Hwang, Inbum Heo, Sung Jun Lee, Sangkeun Jung

  • RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning
    Xingle Xu, Fanheng Kong, Dexian Cai, Shi Feng, Xiaocui Yang, Daling Wang, Yifei Zhang

  • Multimodal In-context Learning for ASR of Low-resource Languages
    Zhaolin Li, Jan Niehues

  • a1: Steep Test-time Scaling Law via Environment Augmented Generation
    Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Yuyao Ge, Jun Wan, Yurong Wu, Xueqi Cheng

  • Look and Think: Efficient Multimodal Reasoning via Modality-Decoupled Compression
    Xidi Cai, Junhao Zheng, Jingye Li, Boyuan Li, Shaowei Zhang, Qianli Ma

  • Topology-Enhanced Alignment for Large Language Models: Trajectory Topology Loss and Topological Preference Optimization
    Yurui Pan, Ke Xu, Bo Peng

  • Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification
    Yuxuan WAN, Tianqing Fang, Zaitang Li, Yintong Huo, Wenxuan Wang, Haitao Mi, Dong Yu, Michael R. Lyu

  • FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering
    Yixi Zhou, Fan Zhang, Yu Chen, Haipeng Zhang, Preslav Nakov, Zhuohan Xie

  • A Unified Feature Mixture Framework for Joint Speech and Singing Deepfake Detection
    Aastha Sharma, Guangjing Wang

  • From Atomic to Complex tasks: Cross-Tasking Improves Zero-Shot Argument Generation and Retrieval
    Lynda Tamine, Ahmed Rayane Kebir, Merveille Dona CODJO, Enzo Pasquies, Jose G Moreno

  • Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
    Yibo Yan, Mingdong Ou, Yi Cao, Xin Zou, Jiahao Huo, Shuliang Liu, James Kwok, Xuming Hu

  • ThinkLinker: From Low-Rank Interaction to Knowledge-Aware Verification for Multimodal Entity Linking
    Yingyao Ma, Yuanyuan Zhou, Congyu Zhang, Yi Yuan, Jiasong Wu, Lotfi Senhadji, Huazhong Shu

  • Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
    Yunxiang Zhang, Muhammad Khalifa, Lechen Zhang, Xin Liu, Ayoung Lee, Xinliang Frederick Zhang, Farima Fatahi Bayat, Lu Wang

  • Evolving Agentic Workflow Driven by Human-Agent Collaboration
    Yuxin Liu, Jinxuan Zhang, Yuezhang Peng, Hefeng Zhou, Xiangfeng Wang, Jiong Lou, Chentao Wu, Jie LI, Jingjing Qu, Chaochao Lu

  • HintPilot: LLM-based Compiler Hint Synthesis for Code Optimization
    Hanyun Jiang, Peisen Yao, Kaiyue Li, Tingting Lin, Chengpeng Wang, Kui Ren

  • What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search
    Xinhao Zhang, Xi Chen, François Portet, Maxime Peyrard

  • Token-level Inference-Time Alignment for Vision-Language Models
    Kejia Chen, Junjun Zheng, Jiawen Zhang, Manxi Lin, Xiao Pan, Jiacong Hu, Jian Lou, Zunlei Feng, Mingli Song

  • STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding
    Hongwang Xiao, Wenjun Lin, Xi Chen, Hui Wang, Kai Chen, Jiashan Li, Yuancheng Sun, Sicheng Dai, Boya Wu, Qiwei Ye

  • RealFin: How Well Do LLMs Reason About Finance When Users Leave Things Unsaid?
    Yuyang Dai, Yan Lin, Zhuohan Xie, Yuxia Wang

  • Preference Optimization for Review Question Generation Improves Writing Quality
    Karun Sharma, Vidushee Vats, Shengzhi LI, Yuxiang Wang, Zhongtian Sun, Prayag Tiwari

  • Your LLM Agent Can Leak Your Data: Data Exfiltration via Backdoored Tool Use
    Wuyang Zhang, Shichao Pei

  • EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication
    Heng Zhang, Yihao Zhong, Lubin Gan, Zhihe Chen, Jiajun Wu, Yuling Shi, Xiaodong Gu, Hao Zhang, Haochen You, Jin Huang

  • Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books
    Argyrios Papoudakis, Mirella Lapata, Frank Keller

  • GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs
    Meixiu Long, Duolin Sun, Dan Yang, Yihan Jiao, Lei Liu, Jiahai Wang, BinBin Hu, Yue Shen, Jie Feng, Zhehao Tan, Junjie Wang, Lianzhen Zhong, Jian Wang, Peng Wei, Jinjie Gu

  • Mirage: A Diagnostic Framework for Evaluating the Realism of Synthetic Contact Center Dialogue Generation
    Rishikesh Devanathan, Varun Nathan, Ayush Kumar

  • BloomEval: A Bloom’s Cognitive Taxonomy-Based Benchmark for Evaluating LRMs via Cognitive Hierarchy Trace
    Zhiyi Duan, Lei Gao, Jiangshan Guan, Qi Wang, Rui Liu

  • CAIR: Causal Adaptive Information-based Reinforcement Learning for Multimodal Emotion Reasoning
    Fengyu Zhang, Bin Liu, Jianhua Tao, Zhuofan Wen, Shun Chen, Hailiang Yao, Zhengqi Wen

  • A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis
    Muhammad Arslan Manzoor, Dilshod Azizov, Daniil Orel, Umer Siddique, Zain Muhammad Mujahid, Yufang Hou, Preslav Nakov

  • Mechanistic Interpretability of Text-to-Image Diffusion Models via Cross-Attention Interventions
    Maisha Maliha, Dean F. Hougen

  • Revisiting Entropy in Reinforcement Learning for Large Reasoning Models
    Renren Jin, Pengzhi Gao, Yuqi Ren, Zhuowen Han, Tongxuan Zhang, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong

  • How Large Language Models Balance Internal Knowledge with User and Document Assertions
    Shuowei Li, Haoxin Li, Wenda Chu, Yi Fang

  • ComicVQA: A Benchmark for Visual Reasoning in Multimodal LLMs
    Esther Gan, Hannah Brown, David Herel, Kenji Kawaguchi, Min-Yen Kan, Michael Qizhe Shieh

  • AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation
    Wentao Shi, Yu Wang, Yuyang Zhao, Yuxin Chen, Fuli Feng, Xueyuan Hao, Xi Su, Qi Gu, Hui Su, Xunliang Cai, Xiangnan He

  • Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction
    Ming Li

  • Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations
    Eric Rudolph, Philipp Steigerwald, Jens Albrecht

  • ClimateCause: Complex and Implicit Causal Structures in Climate Reports
    Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci, Marie-Francine Moens

  • Reference-Free Evaluation of Taxonomies
    Pascal Wullschleger, Majid Zarharan, Donnacha Daly, Marc Pouly, Jennifer Foster

  • CSI: An Investigative Multi-Agent Framework for Explainable Short Video Fake News Detection
    Yuxin Wang, Yang Yang, Huaiwen Zhang

  • Dial HEALTHDIAL for Advice: A Multilingual and Multi-Parallel Spoken Dialogue Dataset for Knowledge-Grounded Information Seeking
    Songbo Hu, Yinhong Liu, Ej Zhou, Evgeniia Razumovskaia, Xiaobin Wang, Alexander Fraser, Ivan Vulić, Anna Korhonen

  • Fast and Effective On-Policy Distillation from Reasoning Prefixes
    Dongxu Zhang, Zhichao Yang, Sepehr Janghorbani, Jun Han, Andrew Ressler II, Qian Qian, Gregory D Lyng, Sanjit Singh Batra, Robert E. Tillman

  • MaRF: Leveraging Representation-Level Fusion of Formula Semantics for Mathematical Information Retrieval
    Suyuan Wang, Hongbo Zheng, Nickvash Kani

  • From Documents to Segments: A Contextual Reformulation for Topic Assignment
    Hoonsang Yoon, Takyoung Kim, Wonkee Lee, Ilmin Cho, Dilek Hakkani-Tür, Stanley Jungkyu Choi

  • Can LLMs Compress (and Decompress)? Evaluating Code Understanding and Execution via Invertibility
    Nickil Maveli, Antonio Vergari, Shay Cohen

  • Confidence Estimation for LLMs in Multi-turn Interactions
    Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, Chengzu Li, Tiancheng Hu, Yijiang River Dong, Deqing Yang, Nigel Collier

  • Beyond Black-Box Labels: Interpretable Criteria for Diagnosing Subjective NLP Tasks
    Nisrine Rair, Alban Goupil, Valeriu Vrabie, Emmanuel Chochoy

  • AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
    Mengzhao Jia, Zhihan Zhang, Ignacio Cases, Zheyuan Liu, Meng Jiang, Peng Qi

  • HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing
    Chengyu Du, Xintao Wang, Aili Chen, Weiyuan Li, Rui Xu, Junteng Liu, Zishan Huang, Rong Tian, Zijun Sun, Yuhao Li, Deming Ding, Pengyu Zhao, Yanghua Xiao

  • Do Generalisation Results Generalise?
    Matteo Boglioni, Andrea Sgobbi, Gabriel Tavernini, Marius Mosbach, Tiago Pimentel

  • Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models
    Gaurav Srivastava, Aafiya Hussain, Sriram Srinivasan, Xuan Wang

  • PV-SQL: Synergizing Database Probing and Rule-based Verification for Text-to-SQL Agents
    Yuan Tian, Tianyi Zhang

  • Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning
    Anna Borisiuk, Andrey Savchenko, Alexander Panchenko, Elena Tutubalina

  • What Do Neural Speech Models Know About Phonology? Evidence from Structured Phoneme Confusions
    Eli Stafford, Aimée Lahaussois, Guillaume Wisniewski

  • Rerank Before You Reason: Analyzing Reranking Tradeoffs through Effective Token Cost in Deep Search Agents
    Sahel Sharifymoghaddam, Jimmy Lin

  • Position: LLM Watermarking Should Align Stakeholders’ Incentives for Practical Adoption
    Yepeng Liu, Xuandong Zhao, Dawn Song, Gregory W. Wornell, Yuheng Bu

  • Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
    Qibin Wang, Pu Zhao Shaohan Huang, Fangkai Yang, Lu Wang, Furu Wei, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang*

  • AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA
    Tasnim Kabir, Dmytro Kurdydyk, Aadi Palnitkar, Liam Dorn, Ahmed Haj Ahmed, Jordan Lee Boyd-Graber

  • NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted Masking
    Mohamad Ballout, Osama Al Mraikhat, Chadi Abou Chakra, Hadi Hamoud, Qusai Abu Obaida, Fadi Zaraket

  • Steering Away from Refusal: A Black-box Jailbreak Method Based on First-Token Distribution
    Shuangjie Fu, Du Su, Xin Chen, Fei Sun, Huawei Shen, Xueqi Cheng

  • Mina: A Multilingual LLM-Powered Legal Assistant Agent for Empowering Access to Justice in Bangladesh
    Azmine Toushik Wasi, Wahid Faisal, Mst Rafia Islam, Md Rizwan Parvez

  • Zero-Shot Context-Aware ASR for Diverse Arabic Varieties
    Bashar Talafha, Amin Abu Alhassan, Muhammad Abdul-Mageed

  • The Sonar Moment: An Audio Geo-Localization Benchmark for Audio-Language Models
    Ruixing Zhang, Zihan Liu, Leilei Sun, Tongyu Zhu, Weifeng Lv

  • Towards Understanding the Robustness of Sparse Autoencoders
    Ahson Saiyed, Sabrina Sadiekh, Chirag Agarwal

  • Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition
    Rujing Yao, Yufei Shi, Yang Wu, Ang Li, Zhuoren Jiang, XiaoFeng Wang, Haixu Tang, Xiaozhong Liu

  • False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize
    Cheng Wang, Zeming Wei, Qin Liu, Wenxuan Zhou, Muhao Chen

  • Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting Circuits
    Yizheng Zhao

  • How Value Induction Reshapes LLM Behavior
    Arnav Arora, Natalie Schluter, Katherine Metcalf, Maartje Ter Hoeve

  • Stable Evidence, Unstable Decisions: An Empirical Analysis of Model Decision Stability in Vision–Language Models
    Ali Khoramfar, Mohammad Javad Dousti, Alireza Mohamadian, Heshaam Faili

  • PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding
    Masao Someki, Chien-yu Huang, Siddhant Arora, Samuele Cornell, Markus Müller, Nathan Susanj, Rupak Vignesh Swaminathan, Grant Strimel, Jing Liu, Shinji Watanabe

  • VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer Selection
    James Petullo, Sonny George, Dylan Cashman, Nianwen Xue

  • Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping
    Miao Peng, Weizhou Shen, Nuo Chen, Chenliang Li, Ming Yan, Jia Li

  • Dissecting Clinical Reasoning in Natural Language Inference for Large Language Models
    Mael Jullien, Andre Freitas, Marco Valentino, Leonardo Ranaldi

  • LLM-Codec: Neural Audio Codec Meets Language Model Objectives
    Ho-Lam Chung, Yiming Chen, Hung-yi Lee

  • Who is the richest club in the championship? Detecting and Rewriting Underspecified Questions Improve QA Performance
    Yunchong Huang, Gianni Barlacchi, Sandro Pezzelle

  • Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking
    Shengbo Gong, Xianfeng Tang, Qi He, Carl Yang, Wei Jin

  • Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains
    Seunghyun Park, Yuanyuan Lei

  • Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms
    Dayeon Ki, Yu Hou, Rachel Rudinger, Hal Daumé III, Marine Carpuat, Fumeng Yang

  • Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
    Zihan Liang, Ziwen Pan, Ruoxuan Xiong

  • Quantize What Counts: More for Keys, Less for Values
    Mohsen Hariri, Alan Luo, Weicong Chen, Tianyi Zhang, Qifan Wang, Xiaotian Han, Vipin Chaudhary

  • PersonaAgent: Bridging Memory and Action for Personalized LLM Agents
    Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li

  • Beyond Fixed Psychological Personas: State Beats Trait, but Language Models are State-Blind
    Tamunotonye Harry, Ivoline Ngong, Chima Nweke, Yuanyuan Feng, Joseph Near

  • From RAG to Agentic RAG for Faithful Islamic Question Answering
    Gagan Bhatia, Hamdy Mubarak, Mustafa Jarrar, George Mikros, Fadi zaraket, Mahmoud Alhirthani, Mutaz al-Khatib, Logan Cochrane, Kareem Mohamed Darwish, Rashid Yahiaoui, Firoj Alam

  • Losses that Cook: Topological Optimal Transport for Structured Recipe Generation
    Mattia Ottoborgo, Daniele Rege Cambrin, Paolo Garza

  • Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions
    Ignacio Sastre, Aiala Rosá

  • Beyond Monolithic Rewards: Hybrid Multi-Aspect Reward Optimization
    Radha Gulhane, Sathish Reddy Indurthi

  • VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation
    Seongheon Park, Changdae Oh, Hyeong Kyu Choi, Sean Du, Sharon Li

  • Will it Merge? On The Causes of Model Mergeability
    Adir Rahamim, Asaf Yehudai, Boaz Carmeli, Leshem Choshen, Yosi Mass, Yonatan Belinkov

  • Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus Theory
    Krishna Pothugunta, John Lalor

  • Parallel-SFT: Improving Zero-Shot Cross-Programming-Language Transfer for Code RL
    Zhaofeng Wu, Shiqi Wang, Boya Peng, Anuj Kumar Goyal, Melanie Kambadur, Sebastian Ruder, Yoon Kim, Chloe Bi

  • Distorted or Fabricated? A Survey on Hallucination in Video LLMs
    Yiyang Huang, Yitian Zhang, Yizhou Wang, Mingyuan Zhang, Liang Shi, Huimin Zeng, Yun Fu

  • Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards
    Luis Lara, Aristides Milios, ZhiHao Luo, Aditya Sharma, Ge Ya Luo, Christopher Beckham, Florian Golemo, Christopher Pal

  • Creating Grammar Teaching Material for Endangered Languages with Hybrid Grammar Induction
    Sebastien Christian

  • OpenExempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on Demand
    Sergio Servantez, Sarah B. Lawsky, Rajiv Jain, Daniel W. Linna Jr., Kristian J Hammond

  • Context-Conditioned Masked LoRA: Dynamic Rank Routing for Compute-Efficient Parameter-Efficient Fine-Tuning
    S M Rafiuddin, Rafae Abdullah

  • A Survey on Evaluation of LLM-based Agents
    Asaf Yehudai, Lilach Eden, Alan Li, Guy Uziel, Yilun Zhao, Roy Bar-Haim, Arman Cohan, Michal Shmueli-Scheuer

  • ProToM: Promoting Prosocial Behaviour via Theory of Mind-Informed Feedback
    Matteo Bortoletto, Yichao Zhou, Lance Ying, Tianmin Shu, Andreas Bulling

  • JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew
    Itay Razumenko, Arnon Sturm, Nir Grinberg

  • Stabilizing Efficient Reasoning with Step-Level Advantage Selection
    Han Wang, Xiaodong Yu, Jialian Wu, Jiang Liu, Ximeng Sun, Mohit Bansal, Zicheng Liu

  • RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
    Arya Hadizadeh Moghaddam, Drew Ross, Mohsen Nayebi Kerdabadi, Dongjie Wang, Zijun Yao

  • CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-Thought
    Oded Schlesinger, Young Kyung Kim, J. Matias Di Martino, Guillermo Sapiro

  • Hidden States as Early Signals: Step-level Trace Evaluation and Pruning for Efficient Test-Time Scaling
    Zhixiang Liang, Beichen Huang, Zheng Wang, Minjia Zhang

  • From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
    Md Nayem Uddin, Kumar Shubham, Eduardo Blanco, Chitta Baral, Gengyu Wang

  • Towards Inference-time Scaling for Continuous Space Reasoning
    Minghan Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari

  • SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair
    Yifan Zhang, Jieyu Li, Kexin Pei, Yu Huang, Kevin Leach

  • Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
    Myke C. Cohen, Mingqian Zheng, Neel Bhandari, Hsien-Te Kao, Xuhui Zhou, Daniel Nguyen, Laura Cassani, Maarten Sap, Svitlana Volkova

  • CheMM-R1: Enhancing Chemical Structure Recognition and Elucidation with Reasoning Multimodal Large Language Models
    Liting Huang, Zhihao Zhang, Shoujin Wang

  • Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations
    Pingjun Hong, Beiduo Chen, Siyao Peng, Marie-Catherine de Marneffe, Benjamin Roth, Barbara Plank

  • DeepSpecs: Expert-Level Question Answering in 5G
    Aman Ganapathy Manvattira, Yifei Xu, Ziyue Dang, Songwu Lu

  • On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage Calibration
    Huaisheng Zhu, Mingyu Liu, Junze Liu, Zhen Ge, Tian Wang, Jiri Gesi, Dakuo Wang, Weiqi Zhang, Houyu Zhang, Yufan Guo, Xian Li, Bing Yin, Sujay Sanghavi

  • Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL
    Zhewei Yao, Guoheng Sun, Lukasz Borchmann, Gaurav Nuti, Zheyu Shen, Minghang Deng, Bohan Zhai, Hao Zhang, Ang Li, Yuxiong He

  • Do Emotions Influence Moral Judgment in Large Language Models?
    Mohammad Saim, Tianyu Jiang

  • RShield: A User-level Traceable Backdoor Watermark for LLMs in Embedding-as-a-Service
    Lingyun Xiang, Yufan Zhong, Chengfu Ou, Zhihua Xia, Chunfang Yang, Daojian Zeng, Zhangjie Fu

  • The Adaptive Interrogator: Detecting Trojan LLMs in Multi-Agent Systems via Evolved Conversational Strategies
    Rana Muhammad Shahroz Khan, Ruichen Zhang, Zhen Tan, Charles Fleming, Tianlong Chen

  • SmartAD: Capacity-Aligned Agent Distillation for Small Language Models
    Guokai Tang, Feng Zhao

  • TRM-Planner: Offline Target Planning and Distillation for Tiny Recursive Models
    Euijin Baek, Housam Babiker, Mi-Young Kim, Randy Goebel

  • MAPLE: Multi-Aspect Panels of LLM Evaluators for Open-Ended Questions
    Michinori Jinji, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima

  • MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference
    Jeonghyun Park, Ingeol Baek, Seunghyun Yoon, Haeun Jang, Aparna Garimella, Akriti Jain, Nedim Lipka, Hwanhee Lee

  • Enhancing Multilingual RAG Systems with Debiased Language Preference-Guided Query Fusion
    Jeonghyun Park, Byeongjeong Kim, Seojin Hwang, Hwanhee Lee

  • MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation
    Jyotika Singh, Fang Tu, Miguel Ballesteros, Weiyi Sun, Sandip Ghoshal, Michelle Yuan, Yassine Benajiba, Sujith Ravi, Dan Roth

  • Soft Head Selection for Injecting ICL-Derived Task Embeddings
    Jungwon Park, Jimyeong Kim, Changin Choi, Wonjong Rhee

  • CORAL: Adaptive Retrieval Loop for Culturally-Aligned Multilingual RAG
    Nayeon Lee, Jiwoo Song, Byeongcheol Kang

  • Safety Guardrails of Large Language Models Are Vulnerable to Value-Driven Adversarial Prompting
    Xiaohao Luo, Ying Wei, Zhijun Li

  • Fair RAG: End-to-End Fairness Across Retrieval and Generation
    Farsheed Haque, Zhe Fu, Ramit Aditya, Depeng Xu, Xi Niu

  • ManCC: A Task-Anchored Benchmark for Manchu–Classical Chinese Cross-Lingual Modeling
    Meiqi Wang, Dongjie Wang

  • Dynamic Graph Navigation via Triplet Chains for Structure-Aware Retrieval-Augmented Generation
    Feng Zhao, Yufei Wu, Xianggan Liu, Ruilin Zhao

  • Style over Story: Measuring LLM Narrative Preferences via Structured Selection
    Donghoon Jung, Jiwoo Choi, Songeun Chae, Seohyon Jung

  • Visual Interference in Speech Evaluation: Cultural Asymmetry and Cross-Modal Bias in MLLMs
    Kyusik Kim, Hyunwoo Yoo, Jaehoon Choi, Gail Rosen, Bongwon Suh

  • DraDDP: A Multimodal Multi-Party Dialogue Discourse Parsing Dataset
    Shannan Liu, Peifeng Li, Yaxin Fan, Qiaoming Zhu

  • Table-R1: Region-based Reinforcement Learning for Table Understanding
    Zhenhe Wu, Jian Yang, Zhongjiang He, Changzai Pan, Jiaheng Liu, Xianjie Wu, Yu Zhao, Shuangyong Song, Yongxiang Li, Zhoujun Li, Xuelong Li

  • ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code
    Jian Xie, Zhendong Chu, Aoxiao Zhong, Kai Zhang, Mingzhe Han, Xing fan, Jialie Shen, Qingsong Wen

  • A Framework of Reflective Agents with Adaptive Collaboration for Attributed Summary Generation
    Yu Chen, Peng Chen, Ziwei Zheng, Bang Wang

  • VLURes: Benchmarking Long-Text Grounding and Cross-Lingual Robustness in Vision Language Models
    Jesse Atuhurra, Iqra Ali, Tomoya Iwakura, Hidetaka Kamigaito, Tatsuya Hiraoka

  • Trustworthy and Explainable Causal Representation Learning in Transformers
    Yang Liu, Yinghao zhang, Lin Liu, Jiuyong Li, Debo Cheng, Zaiwen Feng

  • Affectron: Emotional Speech Synthesis with Affective and Contextually Aligned Nonverbal Vocalizations
    Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim, Seong-Whan Lee

  • Reasoning-Guided Exploration for Online DPO
    Zetian Hu, Shunyu Liu, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao

  • CAPA: Contribution-Aware Pruning and FFN Approximation for Efficient Large Vision-Language Models
    Samyak Jha, Junho Kim

  • Strong Reasoning Isn’t Enough: Evaluating Evidence Elicitation in Interactive Diagnosis
    Zhuohan Long, Zhongyu Wei

  • IF-GEO: Conflict-Aware Instruction Fusion for Multi-Query Generative Engine Optimization
    Heyang Zhou, Jiajia Chen, Xiaolu Chen, Jie Bao, Zhen Chen, Yong Liao

  • Investigating Human and LLMs’ Decisions in Unverifiable Environments: A Case Study with GitHub Activity Overview
    Zheng Jiang, Wei Wang, Gaowei Zhang, Yang Feng, Yi Wang

  • PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries
    Yi Zhao, Zhen Yang, ShuaiqiDuan, Wenmeng Yu, Zhe Su, Jibing Gong, Jie Tang

  • Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time Scaling
    Kai Zhang, Jiayi Liao, Chengpeng Li, Ziyuan Xie, Sihang Li, Xiang Wang

  • V-RoLoRA: RLVR-Driven MoE Routing for Steerable Pluralistic Alignment
    Jing Wang, Yaomin Wu, Yinglin Wang, Yitong Yang

  • ParaCook: On Time-Efficient Planning for Multi-Agent Systems
    Shiqi Zhang, Xinbei Ma, Yunqing Xu, Zouying Cao, Pengrui Lu, Haobo Yuan, Tiancheng Shen, Zhuosheng Zhang, Hai Zhao, Ming-Hsuan Yang

  • Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks
    Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, Vaidehi Patil

  • From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language Models
    Youmi Ma, Naoaki Okazaki

  • Bridging the Temporal Gap in Multimodal LLMs: Deeply Stacking Temporal Tokens for Audio-Visual Speech Recognition
    Liyong Wang, Junliang Xing, Tianyu Hu, Jianfei Jiang, Jihuai Zhao, Huimin Ma

  • MHSafeEval: Role-Aware Interaction-Level Evaluation of Mental Health Safety in Large Language Models
    Suhyun Lee, Palakorn Achananuparp, Neemesh Yadav, Ee-Peng Lim, Yang Deng

  • Enabling Stroke-Level Structural Analysis of Hieroglyphic Scripts without Language-Specific Priors
    Fuwen Luo, Zihao Wan, Ziyue Wang, Yaluo Liu, Pau Tong Lin Xu, Xuanjia Qiao, Xiaolong Wang, Peng Li, Yang Liu

  • CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs
    Pengfei He, Shaowei Wang, Tse-Hsun Chen

  • Detecting Hallucinations in Retrieval-Augmented Generation via Semantic-level Internal Reasoning Graph
    Jianpeng Hu, Yanzeng Li, Jialun Zhong, Lei Zou, Wenfa Qi

  • MeasHalu: Mitigation of Scientific Measurement Hallucinations for Large Language Models with Enhanced Reasoning
    Ruijun Huang, Zhiqiao Kang, Yuxuan Zhu, Junxiong Li, Jiahao Zhao, Minghuan Tan, Feng Jiang, Min Yang

  • CRAFTQA: A Code‑Driven Adaptive Framework for Complex Structured Data Reasoning
    Chengtao Gan, Zhiqiang Liu, Long Jin, Yushan Zhu, Lei Liang, Wen Zhang

  • EMTIR-GRPO: Efficient Multi-Tool Augmented Large Language Models via Reinforcement Learning
    Shixin Jiang, Zhihao Zhu, Jiafeng Liang, Yang Wu, Ming Liu, Bing Qin

  • Multi-Persona Thinking for Bias Mitigation in Large Language Models
    Yuxing Chen, Guoqing Luo, Zijun Wu, Lili Mou

  • LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world Tasks
    Jiayong Wan, Jiawei Chen, Zhaoxia Yin, Liu Shuyuan, Hang Su

  • MedKInstruct: A Multimodal Knowledge Graph Based Framework for Multi-Hop and Hard-Negative Instruction Data Synthesis in MedVQA
    Yinan Wu, Jihang Jin, Xuhao Bao, Weiyan Zhang, Hanjing Yan, Tong Ruan, ChunMing Wang

  • GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization
    Yikun Wang, Yibin Wang, Dianyi Wang, Zimian peng, Qipeng Guo, Dacheng Tao, Jiaqi Wang

  • CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation
    Tung Doan, Huy Phung, Dung Nguyen, Nam Bui

  • Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification
    Xiangtao Meng, Yingkai Dong, Ning Yu, Li Wang, Zheng Li, Shanqing Guo

  • WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing Ecosystem
    Chengyou Wang, Mingchen Shao, Jingbin Hu, Zeyu Zhu, Hongfei Xue, Bingshen Mu, Xin Xu, Xingyi Duan, Binbin Zhang, Pengcheng Zhu, Chuang Ding, Xiaojun Zhang, Hui Bu, Lei Xie

  • ReaGeo: Reasoning-Enhanced End-to-End Geocoding with LLMs
    Jian Cui, Zhiyuan Ren, Desheng Weng, Yongqi Zhao, Gong Wenbin, Yu Lei, Zhenning Dong

  • EviReport: From Reasoned Outlines to Evidence Tracked Long-Form Reports
    Zihan Liu, Jianhui li, Zexin Wang, Fei Sun, Jingjing Li, Zheyuan Li, Ke Xiang, Hang Cui, Houhua Gong, Changhua Pei, Gaogang Xie

  • Preference Estimation via Opponent Modeling in Multi-Agent Negotiation
    Yuta Konishi, Kento Yamamoto, Eisuke Sonomoto, Rikuho Takeda, Ryo Furukawa, Yusuke Muraki, Takafumi Shimizu, Kazuma Fukumura, Yuya Kanemoto, Takayuki Ito, Shiyao Ding

  • AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement Learning
    Jingbo Sun, Wenyue Chong, Songjun Tu, Qichao Zhang, Yaocheng Zhang, Jiajun Chai, Xiaohan Wang, Wei Lin, Guojun Yin, Dongbin Zhao

  • Beneficial Reasoning Behaviors in Agentic Search and Effective Training Methods to Obtain Them
    Jiahe Jin, Abhijay Sai Paladugu, Chenyan Xiong

  • Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering
    Weikang Zhang, Zimo Zhu, Zhichuan Yang, Chen Huang, Wenqiang Lei, See-Kiong Ng

  • Where Did It Go Wrong? Capability-Oriented Failure Attribution for Vision-and-Language Navigation Agents
    Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Shoubin Li, Qing Wang, Fanjiang Xu

  • MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms
    Yibo Wang, Congying Xia, Wenting Zhao, Jiangshu Du, Chunyu Miao, Zhongfen Deng, Philip S. Yu, Chen Xing

  • SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning
    Boyan Shi, Wei Chen, Shuyuan Zhao, Junfeng Shen, Shengnan Guo, Shaojiang Wang, Huaiyu Wan

  • DualAlign: Generating Clinically Grounded Synthetic Data
    Rumeng Li, Xun Wang, Hong Yu

  • Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible Constraints
    Juntao Wu, Wei Wen, Xianting Huang, Shuai Pang, Ruizhi Qiao, Xing Sun, Ke Wang

  • CoT-Edit: Reinforcement Learning of Chain-of-Thought Reasoning for Code Edit Suggestion
    Wuya Chen, Yihao Yang, Yue Lin

  • MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents
    Hung Pham Van, Nguyen Manh Hieu, Khang Pham Tran Tuan, Nam Le Hai, Linh Ngo Van, Nguyen Thi Ngoc Diep, Trung Le

  • MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models
    Peng Wang, Yuxiong Yan, Xiao Ding, Kai Xiong, Bibo Cai, Chao Peng, Yutai Hou, Dandan Tu, Bing Qin, Ting Liu

  • MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis
    Zixiong Yu, Jun Rao, Guhan Chen, Songtao Tian, Bohan Li, Jiansheng Wei, Min Zhang, Xiaojun Meng

  • Neural Induction of Finite-State Transducers
    Michael Ginn, Alexis Palmer, Mans Hulden

  • Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning
    Jun Rao, Xuebo Liu, Hexuan Deng, Zepeng Lin, Zixiong Yu, Jiansheng Wei, Xiaojun Meng, Min Zhang

  • Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs
    Xiaozhe Li, Xinyu Fang, Shengyuan Ding, Yang Li, Linyang Li, Haodong Duan, Qingwen Liu, Kai Chen

  • Datasets for Scientific Literature Understanding: A Survey
    Yuanzhe Zhang, Xun Zhao, Maodi Hu, Xi Sun, Donghuan Song, Zhixiong Zhang

  • ODASim: Ordered, Distinctive and Absolute Semantic Similarity for Code Explanation Evaluation
    Prince Kumar, Vitobha Munigala, Jaydeep Sen, Ashish Mittal, Vishwajeet Kumar, Srikanth G. Tamilselvam

  • Almieyar-Oryx-BloomBench: A Bilingual Multimodal Benchmark for Cognitively Informed Evaluation of Vision-Language Models
    Mohammad Mahdi Abootorabi, Omid Ghahroodi, Anas Madkoor, Marzia Nouri, Doratossadat Dastgheib, Ehsaneddin Asgari

  • OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces
    Xiaozhe Li, Jixuan Chen, Xinyu Fang, Shengyuan Ding, Haodong Duan, Qingwen Liu, Kai Chen

  • VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models
    Hanling Zhang, Yayu Zhou, Tongcheng Fang, Zhihang Yuan, Guohao Dai, Wanli Ouyang, Yu Wang

  • Feedback Adaptation for Retrieval-Augmented Generation
    Jihwan Bang, Seunghan Yang, Kyuhong Shim, Simyung Chang, Juntae Lee, Sungha Choi

  • From Implicit to Explicit: Token-Efficient Logical Supervision for Mathematical Reasoning in LLMs
    Shaojie Wang, Liang Zhang

  • When Backdoors Go Beyond Triggers: Semantic Drift in Diffusion Models Under Encoder Attacks
    Shenyang Chen, Liuwan Zhu

  • Reducing Peak Memory Usage for Modern Multimodal Large Language Model Pipelines
    Junwan Kim, Hyunkyung Bae

  • MAKI: Multi-layer Aligned Knowledge Injection for Structure-aware Knowledge Graph Completion with Large Language Models
    Zhiwen Xie, Xin Wang, Guangyou Zhou, Derek F. Wong

  • From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning
    Xiaoyu Xu, Minxin Du, Zitong Li, Zi Liang, Zhibiao Guo, Shiyu Zhang, Peizhao Hu, Qingqing Ye, Haibo Hu

  • ERRV: Eliciting Efficient Reasoning through Reasoning Vectors for Policy Optimization in Large Language Models
    Zhuowen Han, Lei Yang, Renren Jin, Dan Shi, Chenxi Sun, Deyi Xiong

  • LLM-induced Rationales for More Compact Explainable Style Classification Models
    Ahmad Aljanaideh, Saeb Ganideh

  • MDTeamGPT: Mitigating Context Collapse and Enabling Self-Evolution in Medical Multi-Agent Reasoning
    Kai Chen, Xinfeng Li, Tianpei Yang, Hewei Wang, Guang Yang, Jing Huo, Yang Gao

  • TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization
    Shichao Ma, Zhiyuan Ma, Ming Yang, Xiaofan Li, Xing Wu, Jintao Du, Yu Cheng, Weiqiang Wang, Qiliang Liu, Zhengyang Zhou, Yang Wang

  • Towards semantic reliable clinical QA: Query pipeline optimization for cancer patient question answering systems
    MaoLin He, Rena Wei Gao, Mike Conway, Brian E. Chapman

  • LayerNorm Induces Recency Bias in Transformer Decoders
    Junu Kim, Xiao Liu, Zhenghao Lin, Lei Ji, Yeyun Gong, Edward Choi

  • Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition
    Qi Zhang, Fangping Lan, Cornelia Caragea, Longin Jan Latecki, Eduard Dragut

  • PhageBench: Can LLMs Understand Raw Bacteriophage Genomes?
    Yusen Hou, Weicai Long, Haitao Hu, Houcheng Su, Junning Feng, Yanlin Zhang

  • POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization
    Usman Naseem, Robert Geislinger, Juan Ren, Sarah Kohail, Rudy Alexandro Garrido Veliz, P Sam Sahil, Yiran Zhang, Idris Abdulmumin, Marco Antonio Stranisci, Özge Alacam, Cengiz Acarturk, Aisha Jabr, Saba Anwar, Abinew Ali Ayele, Simona Frenda, Alessandra Teresa Cignarella, Elena Tutubalina, Oleg Rogov, Aung Kyaw Htet, Xintong Wang, Surendrabikram Thapa, Kritesh Rauniyar, Tanmoy Chakraborty, Arfeen Zeeshan, Dheeraj Kodati, Satya keerthi, Sahar Moradizeyveh, Firoj Alam, Arid Hasan, Syed Ishtiaque Ahmed, Ye Kyaw Thu, Shantipriya Parida, Ihsan Ayyub Qazi, Lilian Diana Awuor Wanzare, Nelson Odhiambo Onyango, Clemencia Siro, Jane Wanjiru Kimani, Ibrahim Said Ahmad, Adem Chanie Ali, Martin Semmann, Chris Biemann, Shamsuddeen Hassan Muhammad, Seid Muhie Yimam

  • VANE: Guiding High-Value Exploration in RLVR via Outcome-Process Novelty Shaping
    Xu He, Jialiang Guo, Fucheng Xiong, Haodong Zhao, Xingyang Li, Ke Zeng, Xunliang Cai

  • Exploring Coding Spot: Understanding Parametric Contributions to LLM Coding Performance
    Dongjun Kim, Minhyuk Kim, Yongchan Chun, Chanjun Park, Heuiseok Lim

  • FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems
    WenHao Wang, Haoting Shi, Mengying Yuan, Yiquan Lin, Panrong Tong, Hanzhang Zhou, Guangyi Liu, Pengxiang Zhao, Yue Wang, Siheng Chen

  • Towards Proactive Information Probing: Customer Service Chatbots Harvesting Value from Conversation
    Chen Huang, Zitan Jiang, Zou Changyi, Wenqiang Lei, See-Kiong Ng

  • Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning
    Haiyang Yu, Yuchuan Wu, Fan Shi, Jinghui Lu, Ke Niu, Xiaodong Ge, Minghan Zhuo, Jingqun Tang, Bin Li

  • DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents
    Kai Shi, Jun Yang, Ni Yang, Binqiang Pan, Qingsong Xie, Chao Zhang, Zhenyu Yang, Tianhuang Su, Haonan Lu

  • From Outcome to Process: Optimizing MoE Load Balancing with MCTS
    Wenjun Ke, Hengyuan Xu, Ziyu Shang, Yao He, Jiahao Wang, Zijie Xu, Peng Wang, Yuhang Lou, Jiajun Liu

  • Learning Optimal Message Representations for Agentic Communication
    Shashwat Gupta, Anson Bastos, Mayukh Das, Supriyo Ghosh, Nagarajan Natarajan, Chetan Bansal, Saravan Rajmohan

  • CᴀʀO: Chain-of-Analogy Reasoning Optimization for Robust Content Moderation
    Bingzhe Wu, Haotian Lu, Yuchen Mou

  • N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization
    Xukun Zhu, Hang Yu, Peng Di, Linchao Zhu

  • GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification
    Wangjie Gan, Miao Pan, Linbo Xi, Wenqi Zhang, Jintao Chen, Jianwei Yin, Xuhong Zhang

  • SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction
    Hangxiao Zhu, Yuyu Zhang, Ping Nie, Yu Zhang

  • When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life
    Xinyue Lou, Xu Jinan, Jingyi Yin, Xiaolong Wang, Zhaolu Kang, Youwei Liao, Yixuan Wang, Xiangyu Shi, Fengran Mo, Su Yao, Kaiyu Huang

  • MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language Models
    Jinsong Shu, Chenyang Wu, Zhongle Xie, Baokun Wang, Lidan Shou

  • Measuring What Matters Beyond Text: Evaluating Multimodal Summaries by Quality, Alignment, and Diversity
    Abid Ali, Diego Molla, Usman Naseem

  • MonCulture-Eval: A Hierarchical Benchmark for Evaluating Mongolian Cultural Capabilities of Large Language Models across Scripts and Regions
    Quulgan Minggad, XiaoZinan, Yuan Sun

  • Less is More: Knowledge-Aware Compression for Long Legal Judgment Prediction
    Fanghao Lou, Qiqi Wang, Guanyu Chen, Senbo Zhang, Kaiqi Zhao, Qian Liu, Huijia Li

  • Towards Visually Grounded Multimodal Summarization via Cross-Modal Transformer and Gated Attention
    Abid Ali, Diego Molla, Usman Naseem

  • Fairness Evaluation and Inference Level Mitigation in LLMs
    Afrozah Nadeem, Mark Dras, Usman Naseem

  • SCOPE: Preserving Modality-Specific Cues to Mitigate Modality Laziness in Multimodal Learning
    Jingfan Yang, Rui Zhang, Liang Hong, Ke Yuan

  • Embedding-based In-Context Prompt Training for Enhancing LLMs as Text Encoders
    Ailiang Lin, Zhuoyun Li, Keyu Mao, Kotaro Funakoshi, Manabu Okumura

  • Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMs
    Chihiro Taguchi, Richard Sproat

  • ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning
    Yongchan Kwon, Shang Zhu, Federico Bianchi, Kaitlyn Zhou, James Zou

  • An LLM-Embedding Semantic Adaptation Network for Post-level Semantic Drift Evaluation
    Ning Chen, Mingyu Kang, Jie Li, Linyuan Lü

  • CEAID: Benchmark of Multilingual Machine-Generated Text Detection Methods for Central European Languages
    Dominik Macko, Jakub Kopál

  • Distilling the Essence, Discarding the Dross: Improving Fairness in Multimodal Large Language Models via Historical Reflection-Guided Prompt Optimization
    Juncheng Hu, Jiming Yu, Rui Song, Kedi Lyu, Yingji Li, Zheli Liu

  • Tree-of-Evidence: Efficient “System 2” Search for Faithful Multimodal Grounding
    Micky Nnamdi, Benoit Marteau, Yishan Zhong, Junior Tamo, May Wang

  • Jailbreaking Large Language Models with Morality Attacks
    Ying Su, Zheng Mingen, Weili Diao, Haoran Li

  • ExpSeek: Self-Triggered Experience Seeking for Web Agents
    Wenyuan Zhang, Xinghua Zhang, Haiyang Yu, Shuaiyi Nie, Bingli Wu, Juwei Yue, Tingwen Liu, Yongbin Li

  • Do Personality Traits Interfere? Geometric Limitations of Steering in Large Language Models
    Pranav Bhandari, Usman Naseem, Mehwish Nasim

  • AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives
    Yanxi Chen, Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Xin Li, Peijie Qiu, Hao Wang, Xuanzhao Dong, Yujian Xiong, Anderson Schneider, Yuriy Nevmyvaka, Yalin Wang

  • Web Sitemap Knowledge Can Enhance Autonomous Browsing
    Yuyao Zhang, Hongyu Lu, Jiajie Jin, Hongjin Qian, Shiyu Li, Zhao Yang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou

  • Coarse-to-Fine Multimodal Information Selection for Video Speaking Style Recognition with Large Language Models
    Beibei Zhang, Yanan Lu, Lin Fen, Tongwei Ren

  • Large Language Models Require Curated Context for Reliable Political Fact-Checking—Even with Reasoning and Web Search
    Matthew R. DeVerna, Kai-Cheng Yang, Harry Yaojun Yan, Filippo Menczer

  • IREASONER: Trajectory-Aware Intrinsic Reasoning Supervision for Self-Evolving Large Multimodal Models
    Meghana Sunil, Manikandarajan Venmathimaran, Muthu Subash Kavitha

  • CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing
    Manit Baser, Alperen Yildiz, Dinil Mon Divakaran, Mohan Gurusamy

  • STAR-Teaming: A Strategy-Response Multiplex Network Approach to Automated LLM Red Teaming
    MinJae Jung, YongTaek Lim, Chaeyun Kim, Junghwan Kim, Kihyun Kim, Minwoo Kim

  • Critic Rule Induction: Improving Temporal Knowledge Graph Forecasting with Generator-Critic Language Models
    Yingsong Ning, Fu Zhang, Jingwei Cheng, Jiashun Peng, Xiaoke Wang

  • Context-Agent: Dynamic Discourse Trees for Non-Linear Dialogue
    Junan Hu, Shudan Guo, Wenqi Liu, Jianhua Yin, Yinwei Wei

  • Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from Aggregation
    Fuyu Wang, Jiangtong Li, Kun Zhu, Changjun Jiang

  • SMART: Semantic Header Flattening and Pseudo-Code-Style Reasoning for LLM-based Complex Table Question Answering
    Yongshuo Zhang, Jixiong Chen, Kaihe xu, Wei Wei, Shihao Zou

  • ConMA : Confidence-Guided Kernel Sampling with Multi-Stage Aggregation for LLM Reasoning
    Yinuo Wang, Qingjie Li, Wenyao Cui, Qiuchi Li, Zhang Huaping

  • Human-Centered Supervision for Sentiment Analysis in Telugu: A Systematic Inquiry Beyond Accuracy
    Vallabhaneni Raj Kumar, Ashwin S, Supriya Manna, Niladri Sett, Cheedella V S N M S Hema Harshitha, Kurakula Harshitha, Basina Deepakraj, Anand Kumar Sharma, Tanuj Sarkar, Samanthapudi Shakeer, Bondada Navaneeth Krishna

  • Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation
    Runsong Jia, Zhen Fang, Mengjia Wu, Jie Lu, Yi Zhang

  • From Personal to Collective: On the Role of Local and Global Knowledge in LLM Personalization
    Zehong Wang, Junlin Wu, Zhaoxuan Tan, Bolian Li, Xianrui Zhong, Zheli Liu, Qingkai Zeng

  • ProMediate: A Simulation Testbed for Evaluating Proactive Mediation in Multi-Party Negotiation
    Ziyi Liu, Bahareh Sarrafzadeh, Pei Zhou, Longqi Yang, Jieyu Zhao, Ashish Sharma

  • InteracSPARQL : An Interactive System for SPARQL Query Refinement Using Natural Language Explanations
    Xiangru Jian, Zhengyuan Dong, M. Tamer Özsu

  • Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents
    Ying He, Zhouhong Gu, Zhecheng Hu, Yubo Zhou, Hao Shen, Jiaqing Liang, Zhaoqian Dai, Ma Shuguang, Fei Yu, Yanghua Xiao, Zhixu Li

  • Training-Free Test-Time Contrastive Learning for Large Language Models
    Kaiwen Zheng, Kai Zhou, Jinwu Hu, Te Gu, Mingkai Peng, Fei Liu

  • To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing
    Wei Cheng, Yongchang Cao, Chen Shen, Binhua Li, Jue Chen, Yongbin Li, Wei Hu

  • CogEmp：A Cognitive Empathy-Oriented Dialogue System for Structured Psychological Counseling
    Yiguo Deng, Xia Lei, Yuan Zhang, Long Ye

  • LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
    Yongxuan Wu, Runyu Chen, Peiyu Liu, Hongjin Qian

  • CPC-GRPO: Answer-Free Reinforcement Learning with Cross-Prompt Consensus Rewards
    Gyunyeop Kim, Sangwoo Kang

  • MASH: Evading Black-Box AI-Generated Text Detectors via Style Humanization
    Yongtong Gu, Songze Li, Xia Hu

  • MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning
    Jiahang Lin, Kai Hu, Binghai Wang, Yuhao Zhou, Zhiheng Xi, Honglin Guo, Shichun Liu, Junzhe Wang, Shihan Dou, Enyu Zhou, Hang Yan, Zhenhua Han, Tao Gui, Qi Zhang, Xuanjing Huang

  • Multimodal Chemical Structure-Text Coreference in Intellectual Property via Rule-guided Reinforcement Learning
    Hanmeng Zhong, Wentao Wu, Linqing Chen, Peng Zhou

  • TheraAgent: Self-Improving Therapeutic Agent for Precise and Comprehensive Treatment Planning
    Junkai Li, Yunghwei Lai, Tianyi Zhu, Zheng Long Lee, Weizhi Ma, Yang Liu

  • LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
    Guangyi Liu, Pengxiang Zhao, Liang Liu, Zhiming Chen, Yuxiang Chai, Siheng Chen, Yaozhen Liang, WenHao Wang, Zhengxi Lu, Shuai Ren, Hao Wang, Shibo He, Yong Liu, Wenchao Meng

  • From Local Perspective to Global Reasoning: A Neuro-Symbolic Framework for Zero-Shot Relation Extraction
    Kailun Lyu, Fu Zhang, Zehan Li, Jingwei Cheng

  • DiFRa: A Unified Framework for Harmonizing Semantic Diversity and Factual Consistency in Question-Answer Generation
    Zhenqin Li, ShengYong Ding, Shuangyin Li

  • Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language
    Peijie Wang, Ming-Liang Zhang, Jun Cao, Chao Deng, Dekang Ran, Pi Bu, Hongda Sun, Xuan Zhang, Yingyao Wang, Jun Song, Bo Zheng, Fei Yin, Cheng-Lin Liu

  • Beyond Memorization: Testing LLM Reasoning on Unseen Theory of Computation Tasks
    Shlok Shelat, Jay Raval, Souvik Roy, Manas Gaur

  • Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents
    Miao Su, Yucan Guo, Zhongni Hou, Long Bai, Zixuan Li, Yufei zhang, Guojun Yin, Wei Lin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

  • LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command‑Line Interfaces
    Yukang Feng, Jianwen Sun, Zelai Yang, Jiaxin Ai, Chuanhao Li, Zizhen Li, Fanrui Zhang, Kang He, Rui Ma, Jifan Lin, Jie Sun, Yang Xiao, Sizhuo Zhou, Wenxiao Wu, Yiming Liu, Pengfei Liu, Shenglin Zhang, Kaipeng Zhang

  • Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions
    Qirui Liu, Hao Chen, Weijie Shi, Jiajie Xu, Jia Zhu

  • Beyond Black-Box Interventions: Latent Probing for Faithful Retrieval-Augmented Generation
    Linfeng Gao, Qinggang Zhang, Baolong Bi, Bo Zeng, Zheng Yuan, Zerui Chen, Zhimin Wei, Shenghua Liu, Linlong Xu, Longyue Wang, Weihua Luo, Jinsong Su

  • FalconCopilot: Empowering LLMs Towards Integrated Human-Machine Systems for Aviation Autonomy
    Jingyuan Yan, Qingchen Liu, Qichao Ma, Jiahu Qin

  • Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity
    Yucheng Zhou, Jianbing Shen

  • RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
    Yucan Guo, Miao Su, Saiping Guan, Zihao Sun, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

  • HORIZON: A Benchmark for In-the-wild User Behaviour Modeling
    Arnav Goel, Pranjal A Chitale, Bhawna Paliwal, Bishal Santra, Amit Sharma

  • Two-Stage Parameter Alignment for Multi-LoRA Merging in Large Language Models
    Zijian Li, Xiachong Feng, Weitao Ma, Yichong Huang, Xiaocheng Feng, Bing Qin

  • The Agent’s First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios
    Daocheng Fu, Jianbiao Mei, Rong Wu, Xuemeng Yang, Jia Xu, Ding Wang, Pinlong Cai, Yong Liu, Licheng Wen, Botian Shi

  • PrefIx: Understand and Adapt to User Preference in Human-Agent Interaction
    Jialin Li, Zhenhao Chen, Hanjun Luo, Hanan Salam

  • How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning
    Haoyang Chen, Yi Liu, Jianzhi Shao, Tao Zhang, Chengfu Huo, Wei Hu

  • MENTOR: Efficient Autoregressive Image Generation with Balanced Multimodal Control
    Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Jiuxiang Gu, Wen Xiao, Minjia Zhang, Junjie Hu

  • Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size
    Dikshant Kukreja, Kshitij Sah, Gautam Gupta, Avinash Anand, Rajiv Ratn Shah, Zhengkui Wang, Aik Beng Ng, Erik Cambria

  • LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines
    Jiechao Gao, Rohan Kumar Yadav, Yuangang Li, Yuandong Pan, Jie Wang, Ying Liu, Michael Lepech

  • Evaluating the Impact of Reviewer Guideline Design on LLM-Based Automated Peer Review
    Haowen Li, Yoichi Ishibashi, Masafumi Oyamada

  • MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays
    Sunghwan Steve Cho, Yunseok Han, Jaeyoung Do

  • Relevance to Utility: Process-Supervised Rewrite for RAG
    Jaeyoung Kim, Jongho Kim, Seung-won Hwang, Seoho Song, Young-In Song

  • On the Cultural Anachronism and Temporal Reasoning in Vision Language Models
    Mukul Ranjan, Prince Jha, Khushboo Kumari, Zhiqiang Shen

  • GLA: Grounding Large Language Models in Molecular Hierarchy for Chemical Understanding
    Yingxu Li, Jingjie Zeng, Zekun Wang, Liang Yang, Hongfei Lin

  • NeuRAG: End-to-End Neural Knowledge Augmentation via Hyper-Neurons
    Liwei Zheng, Xuemin Liu, Jie Liu

  • DEAR: Distributional Error-Aware Reliability for Robust Multimodal Sentiment Analysis with Missing Modalities
    Shihao Zou, Wei Wei, Yongshuo Zhang

  • OpenPhone: Mobile Agentic Foundation Models
    Yangqin Jiang, Chao Huang

  • Fast Retrieval and Slow Reasoning for Explainable Multimodal Sentiment Analysis
    Aoqiang Zhu, Min Hu, Yan Xing

  • Exploration-Exploitation Reshaping towards Efficient Reasoning for Large Language Models
    Yufeng Shi, Weilin Luo, Yuxiang Zhang, Zongmeng Zhang, Haoyang Liu, Yubing Wang, Bin Wang, Wengang Zhou, Houqiang Li

  • COMPEL: Compensated Mixture-of-Experts Pruning with Expert-Layer distribution
    Seohee Yoon, Yong Suk Choi

  • Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement
    Cheng Yang, Xuemeng Yang, Licheng Wen, Daocheng Fu, Jianbiao Mei, Rong Wu, Pinlong Cai, Yufan Shen, Nianchen Deng, Jia Xu, Botian Shi, Yu Qiao, Haifeng Li

  • Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning
    Tiehua Mei, Minxuan Lv, Leiyu Pan, Zhenpeng Su, Hongru Hou, Hengrui Chen, Ao Xu, Deqing Yang

  • Design First, Code Later: Aesthetically Pleasing Template-Free Slides Generation
    Zhiyao Cui, Chenxu Wang, Shuyue Hu, Yiqun Zhang, Wenqi Shao, Qiaosheng Zhang, Zhen Wang

  • Benchmarking the Fine-Grained Discriminability in Image-Text Retrieval via Controlled Contrastive Differences
    Zhen Wang, Xi Zhou, Yating Yang, Bo Ma, Lei Wang, Rui Dong, Azmat Anwar, Siru Miao

  • Learning on Imbalanced Noisy Data via Debiased Sample Selection and LLM-Driven Annotation
    Bo Yuan, Yulin Chen, Yin Zhang

  • Beyond Task-Level Context: Class-Conditional Context Vectors for Implicit In-Context Learning
    Jianxin Zhang, Yilu Hu, Teng Liu, Pei Guo, Juntao Li

  • DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models
    Lifan Zheng, Xue Yang, Jiawei Chen, Chenyan WU, Jingyuan Zhang, Fanheng Kong, Xinyi Zeng, Xiang Chen, Yu Tian

  • Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization
    Xia Jiang, Jing Chen, Cong Zhang, Jie Gao, Chengpeng Hu, Chenhao Zhang, Yaoxin Wu, Yingqian Zhang

  • DARL: Encouraging Diverse Answers for General Reasoning without Verifiers
    Chongxuan Huang, Lei Lin, Xiaodong Shi, Wenping Hu, Ruiming Tang

  • Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models
    Qi Cao, Takeshi Kojima, Andrew Gambardella, Helinyi Peng, Yutaka Matsuo, Yusuke Iwasawa

  • STEP: Success-Rate-Aware Trajectory-Efficient Policy Optimization
    Yuhan Chen, Yuxuan Liu, Long Zhang, Pengzhi Gao, Jian Luan, Wei Liu

  • AscendKernelGen: LLM-Driven Kernel Generation for NPUs
    Xinzi Cao, Jianyang Zhai, Pengfei Li, Zhiheng Hu, Cen Yan, Bingxu Mu, Guanghuan Fang, Bin She, Jiayu Li, Yihan Su, Dongyang Tao, Feidiao Yang, Chang-Dong Wang, Yutong Lu, Weicheng Xue, Bin Zhou, Yonghong Tian

  • Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization
    Shan He, Runze Wang, Zhuoyun Du, Huiyu Bai, Zouying Cao, Yu Cheng, Bo Zheng

  • Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory
    Sirui Liang, Pengfei Cao, Jian Zhao, Wenhao Teng, Xiangwen Liao, Jun Zhao, Kang Liu

  • LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment
    Chenji Lu, Zhuo Chen, Hui Zhao, Zhiyuan Zeng, Gang Zhao, Junjie Ren, Lihaoran, Songyan Liu, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng

  • Multilingual Refusal Alignment for Safer Large Language Models
    Aleksandra Krasnodębska, Wojciech Kusa, Aldo Lipani

  • View-R1: Asymmetric Policy Optimization for Difficulty-Aware Multimodal Reinforcement Learning
    Minjie Hong, Zirun Guo, Jiabao Zhang, Zehan Wang, Ziang Zhang, Tao Jin, Zhou Zhao

  • PseudoGD: Enhancing Spatial Reasoning in Vision-Language Models through Pseudo Geometric Knowledge Distillation
    Gwanghee Lee, Yeeun Choi, Kyoungson Jhang

  • DMSD: Dual-Modal Semantic Disentanglement for Compositional Zero-Shot Learning
    Pan yang, Jing Yang, Ruan xiao li, Yuling Chen, Yuankai Wu, Quan Zhou, Xu Wang

  • ReFreeKV: Towards Threshold-Free KV Cache Compression
    Xuanfan Ni, Liyan Xu, Chenyang Lyu, Longyue Wang, Mo Yu, Lemao Liu, Fandong Meng, Jie Zhou, Piji Li

  • Safety Sidecar: Reflection-Driven Runtime Control for Safer Agents
    Wang Bin, Quan Jiazheng, Xingrui Yu, Hu Hansen, YuHao, Anjun Gao, Zhenglin Wan, Hui LI, Ivor Tsang

  • MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus
    Yexing Du, Kaiyuan Liu, Bihe Zhang, Youcheng Pan, Bo Yang, Liangyu Huo, Xiyuan Zhang, Jian Xie, Daojing He, Yang Xiang, Ming Liu, Bing Qin

  • VET: Verifiable Execution Tracing for Reliable Text-to-SQL Generation
    Dongyu Wang, Jingyu Li, Lan Zhang, Ganggang Yu, Liang Huang

  • PACE: Prefix-Protected and Difficulty-Aware Compression for Efficient Reasoning
    Ruixiang Feng, Yuntao Wen, Silin Zhou, Ke Shi, Yifan Wang, Ran Le, Zhenwei An, Zongchao Chen, Chen Yang, Guangyue Peng, Yiming Jia, Dongsheng Wang, Tao Zhang, Lisi Chen, Yang Song, Shen Gao, Shuo Shang

  • CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges
    Zihan Wang, Lam Nguyen, Zhengyang Zhao, Mengyue Yang, Chengwei Qin, Yujiu Yang, Linyi Yang

  • Machine Behavior in Relational Moral Dilemmas: Moral Rightness, Predicted Human Behavior, and Model Decisions
    Jiseon Kim, Jea Kwon, Luiz Felipe Vecchietti, Wenchao Dong, Jaehong Kim, Meeyoung Cha

  • Prompting the Unknown: Understanding Response Uncertainty in Large Language Models
    Ze Yu Zhang, Arun Verma, Finale Doshi-Velez, Bryan Kian Hsiang Low

  • Explainable Quantum Program Repair with Verifiable Proof Traces
    Tingting Li, Ziming Zhao, Zhaoxuan Li, Jiongchi Yu, Xiaofei Yue, Jianwei Yin

  • MA²P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion
    Dingyi Zhang, Ziqing Zhuang, Linhai Zhang, Ziyang Gao, Deyu Zhou

  • Synergizing Semantic Anchors and Ordinal Smoothed Cross-Entropy for Speech Fluency Classification
    Mulati Kahaer, Sirajahmat Ruzmamat, XuDong Pang, Subinuer Maimaitituerxun, Zaokere Kadeer, Abudurexiti Reheman, Wenwen Lu, Panpan Zheng, Aishan Wumaier

  • PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints
    Minjun Park, Donghyun Kim, Hyeonjong Ju, Seungwon Lim, Dongwook Choi, Taeyoon Kwon, Minju Kim, Jinyoung Yeo

  • SciText2Eq: Assessing LLMs for Explainable Equation Generation for Scientific Creativity
    Yifan Mo, Xiao Fu, Yue Su, Qingyu Meng, Koen Hindriks, Qingzhi Liu, Jiahuan Pei

  • Reward Yourself: Efficient Self Rewards for Trustworthy Sampling
    Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang

  • Analyze Like a Venture Capitalist: Information-Gain and Knowledge Enhanced Graph Reasoning for Startup Success Prediction
    Haoyu Pei, Zhongyang Liu, Xiangyi Xiao, Xiaocong Du, Suting Hong, Kunpeng Zhang, Haipeng Zhang

  • Read the Room, Read the Image: Understanding Indirect Speech Acts in Multimodal Visual Contexts
    Jaehee Kim, Ji Hoon Chung, Seoyoon Park, Unsol Kim, Kyungwon Park, JiHak Kim, Yi-Jun Chen, Hansaem Kim

  • Break Through the Compression Bottleneck: From Theory to Practice
    Xiusheng Huang, Lu Wang, Yequan Wang, Jun Zhao, Kang Liu

  • Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language Models
    Lanxue Zhang, Yuqiang Xie, Fang Fang, Yubing Ren, Xuebin Wang, Yanan Cao

  • Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
    Zhenpeng Su, Leiyu Pan, Minxuan Lv, Tiehua Mei, Zijia Lin, Yuntao Li, Wenping Hu, Ruiming Tang, Kun Gai, Guorui Zhou

  • BCL: Bayesian In-Context Learning Framework for Information Extraction
    Haoliang Liu, Chengkun Cai, Xu Zhao, Han Zhu, Shizhou Huang, Xinglin Zhang, Tao Chen, Jenq-Neng Hwang, Zhang Huaping, Lei Li

  • G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model Reasoning
    Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Lingling Zhang, Yixin Chen, Xuequn Shang

  • WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations
    Jaeyeon Kim, Heeseung Yun, Tony Woo, Chao-Han Huck Yang, Gunhee Kim

  • AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-Playing
    Zhenhua Xu, Dongsheng Chen, Shuo Wang, Jian Li, Chengjie Wang, Meng Han, Yabiao Wang

  • Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets
    Yuan Xiao, Jiaming Wang, Yuchen Chen, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, Zhenyu Chen

  • Revisiting the Uniform Information Density Hypothesis in LLM Reasoning
    Minju Gwak, Guijin Son, Jaehyung Kim

  • pQuant: Towards Effective Low-Bit Language Models via Decoupled Linear Quantization-Aware Training
    Wenzheng Zhang, Bingzheng Liu

  • Incomplete Prompt Jailbreaks in Large Language Models
    Yeonjea Kim, Bumjin Park, Jaesik Choi

  • The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning
    Yafu Li, Zhilin Wang, Tingchen Fu, Ganqu Cui, Sen Yang, Yu Cheng

  • A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
    Keke Lian, Wang Bin, Lei Zhang, Libo Chen, Junjie Wang, Ziming Zhao, Yujiu Yang, Miaoqian Lin, Haotong Duan, Haoran Zhao, Shuang Liao, Mingda Guo, Quan Jiazheng, Yilu Zhong, Chenhao He, Chen Zichuan, Jie Wu, Haoling Li, Zhaoxuan Li, Jiongchi Yu, Hui Li, Dong Zhang

  • Large Language Models Are Overconfident in Their Own Responses
    Mario Sanz-Guerrero, Manuel Mager, Katharina von der Wense

  • Structured Dialogue Refinement: Building Retrieval-Augmented Question Answering on Goal-Oriented Dialogues
    Bin Wu, Sawan Kumar, Prasetya Ajie Utama, Mohamed Yahyal

  • Thought-Action Graph Reasoning: Faithful and Efficient Reasoning of Large Language Models via Reusing Past Experience
    Zhixiao Qi, Feng Huang, Yunqi Zhang, Shijie Zhang, Qingqing Sun, Yongfeng Huang, Minghu Jiang, Shuai Chen, Tianyi Zhang

  • XLSR-MamBo: Scaling the Hybrid Mamba-Attention Backbone for Audio Deepfake Detection
    Kwok-Ho Ng, Tingting Song, Yongdong Wu, Zhihua Xia

  • Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation
    Boyu Cao, Lekai Qian, Dehan Li, Haoyu Gu, Mingda Xu, Qi Liu

  • TRUST: Towards Robust Social Bot Detection via Uncertainty-Guided Pseudo-Labeling and Graph Structure Purification
    Ruixuan Xu, Mengting Hu, Zhunheng Wang, Ming Jiang, Rui Ying, Zhen Zhang, Hang Gao, Shuaipeng Liu, Renhong Cheng

  • XGUARD: A Graded Benchmark for Evaluating Safety Failures of Large Language Models on Extremist Content
    Vadivel Abishethvarman, Bhavik Chandna, Pratik Jalan, Usman Naseem

  • PiCSAR: Probabilistic Confidence Selection and Ranking for Reasoning Chains
    Joshua Ong Jun Leang, Zheng Zhao, Aryo Pradipta Gema, Sohee Yang, Wai-Chung Kwan, Xuanli He, Wenda Li, Pasquale Minervini, Eleonora Giunchiglia, Shay B Cohen

  • DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation
    Hao Zheng, Guozhao Mo, Xinru Yan, Qianhao Yuan, Wenkai Zhang, Xuanang Chen, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun

  • An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs
    Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng

  • FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning
    Xiao Li, Bolin Zhu, Kaiwen Shi, Sichen Liu, Yin Zhu, Yiwei Liu, Gong Cheng

  • CORD: Bridging the Audio–Text Reasoning Gap via Weighted On-policy Cross-modal Distillation
    Hu Jing, Danxiang Zhu, Xianlong Luo, Dan Zhang, Shuwei He, Yishu Lei, Shikun Feng, Hai-Tao Zheng, Jingzhou He, Yu Sun, Hua Wu, Haifeng Wang

  • PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs
    Jiacheng Wang, Weiyan Zhang, Guangya Yu

  • Generalizable Prompt Tuning for Audio-Language Models via Semantic Expansion
    Jaehyuk Jang, Wonjun Lee, Kangwook Ko, Changick Kim

  • Leveraging Label Semantics and Entity Description Generation for LLM-based Fine-grained Entity Typing
    Yingying Ma, Hongliang Dai, Xia Zhang, Piji Li

  • Trident: Self-Supervised Preference Alignment via Triplet Regularization
    Yingnan Guo, Kejia Chen, Xiaofeng Zhang, Zifei Wu, Yu Zhang

  • Why Do Multilingual Reasoning Gaps Emerge in Reasoning Language Models?
    Deokhyung Kang, Seonjeong Hwang, Daehui Kim, Hyounghun Kim, Gary Geunbae Lee

  • EvoMemKG: An Evolvable Memory Agent for Multi-hop Knowledge Graph Reasoning
    Shiyu Tian, Shuyue Xing, Zhuoxin Han, Caixia Yuan, Xiaojie Wang

  • Scaling Laws or Threshold Effects: Exploring the Optimal Vocabulary Size for Balancing Performance and Efficiency in Low-Resource Languages
    Ao Han, Andong Chen, Yuan Sun, Xiaobing Zhao

  • RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive Learning
    Yitao Xiao, Shaoyong Guo, Guoming Yang, Qingnan Wang, Yinlin Ren, Xuesong Qiu, Qi Feng

  • Grouped Adaptive Weight Sharing (GAWS): An Inference-Efficient Adaptation Method for Large Language Models
    Eman Alsuradi, Junhyun Lee, Kyenghun Lee, Hyeonmok Ko, Fahed Jubair

  • Lending Eyesight to Language Models: Modeling and Probing Human scanpath through Transformer Decoder
    Junlin Li, David Robert Reich, Yu-Yin Hsu

  • Timesteps of Mamba Align with Human Reading Times
    Yuji Yamamoto, Shinnosuke Isono, Yoshinobu Kawahara, Sho Yokoi

  • Astra: Activation-Space Tail-Eigenvector Low-Rank Adaptation of Large Language Models
    Kainan Liu, Yong Zhang, Ning Cheng, Yun Zhu, Yanmeng Wang, Shaojun Wang, Jing Xiao

  • AROMA: Augmented Reasoning Over a Multimodal Architecture for Virtual Cell Genetic Perturbation Modeling
    Zhenyu Wang, Geyan Ye, Wei Liu, Man Tat Alexander Ng

  • Exploring Two-Phase Continual Instruction Fine-tuning for Multilingual Adaptation in Large Language Models
    Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal, Satya Lokam, Sunayana Sitaram

  • SCALER: Synthetic Scalable Adaptive Learning Environment for Reasoning
    Caijun Xu, Changyi Xiao, Zhongyuan Peng, Xinrun Wang, Yixin Cao

  • Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups
    Geng Liu, Li Feng, Junjie Mu, Mengxiao Zhu, Francesco Pierri

  • AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code
    ShangZhan Li, Xinyu Yin, Xuanyu Jin, Ye He, Yuxin Zhou, Yuxuan Li, Xu Han, Wanxiang Che, Qi Shi, Ting Liu, Maosong Sun

  • CompassLLM: A Multi-Agent Approach toward Geo-Spatial Reasoning for Popular Path Query
    Md. Nazmul Islam Ananto, Shamit Fatin, Mohammed Eunus Ali, Md Rizwan Parvez

  • Free-MAD: Consensus-Free Multi-Agent Debate
    Yu Cui, Hang Fu, Haibin Zhang, Licheng Wang, Cong Zuo

  • Dialectical Structured Reasoning for Explainable Multimodal Fake News Detection
    Ruichao Yang, Yufan Bian, Wei Gao, Bo-Wen Zhang, Jing Ma, Hongzhan Lin, Ziyang Luo, Xiaobin Zhu, Xu-Cheng Yin

  • Unlocking Human-Like Visible Logic: How Logic Diagrams Boost Logic Reasoning in Large Language Models?
    Xin Wu, Yuqi Bu, Mengchen Zhao, Qingbao Huang, Yi Cai

  • Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense Retrieval
    Ruiran Yan, Wen Xiong, Ze Liu, Chaozhuo Li, Hao Liao, Defu Lian, Zheng Liu

  • TravelBehaviorQA: A Benchmark Dataset for Behavioral Interpretation of GPS Trajectories
    Dongyang Zhen, Niping Duan, Huan Zhou, Qingbin Cui

  • SpiralThinker: Latent Reasoning through an Iterative Process with Text–Latent Interleaving
    Shengmin Piao, Sanghyun Park

  • Verifier-Free RL for LLMs via Intrinsic Gradient-Norm Reward
    Xuexiang Wen, Hang Yu, Linchao Zhu, Gaoang Wang

  • NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment
    Wenqing Wu, Yi Zhao, Yuzhuo Wang, Siyou Li, Juexi Shao, Yunfei Long, Chengzhi Zhang

  • LaMPE: Length-aware Multi-grained Positional Encoding for Adaptive Long-context Scaling Without Training
    Sikui Zhang, Guangze Gao, Ziyun Gan, Chunfeng Yuan, Zefeng Lin, Houwen Peng, Bing Li, Weiming Hu

  • Can Small Vision–Language Models Perform Sign Language Translation?
    Anal Roy Chowdhury, Debarshi Kumar Sanyal

  • FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration
    Dongwon Jo, Jiwon Song, Yulhwa Kim, Jae-Joon Kim

  • Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning
    Massimiliano Pronesti, Anya Belz, Yufang Hou

  • Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text Steganography
    Jiuan Zhou, Yu Cheng, Yuan Xie, Zhaoxia Yin

  • Detecting AI‑Generated Video: A Vision–Language Dual‑View Survey
    Dylan Xinming Hou, Juntian Zhang, Xu Gu, Yichen Wu, Nils Lukas, Gus Xia, Xiuying Chen, Yuhan Liu

  • UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval
    Jongyoon Kim, Minseong Hwang, Seung-won Hwang

  • Improving LLM Code Reasoning via Semantic Equivalence Self-Play with Formal Verification
    Poon Tsz Nok, Antonio Valerio Miceli Barone

  • Towards Identification and Intervention of Safety-Critical Parameters in Large Language Models
    Weiwei Qi, Zefeng Wu, Tianhang Zheng, Zikang Zhang, Xiaojun Jia, Zhan Qin, Kui Ren

  • OPINE: A Prior-calibrated Scoring Framework for LLM-based Multi-label Scientific Opinion Classification
    Mengting Zhang, Gaofeng Pan, Zhixiong Zhang, Yang Li, Guangyin Zhang

  • Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic
    Yuval Reif, Guy Kaplan, Roy Schwartz

  • RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents
    Zijie Dai, Shiyuan Deng, Sheng Guan, Yizhou Tian, Xin Yao, Xiao Yan, James Cheng

  • Let the Comments Speak: A Multi-Agent Framework based on Large Language Model for Comment-Guided Code Refactoring
    Zixuan Wang, Wutong Yu, Deyu Zhou

  • AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models
    Yimin Deng, Yejing Wang, Zhenxi Lin, Zichuan Fu, Guoshuai Zhao, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Xian Wu, Li Zhu, Xueming Qian

  • Hierarchical Representation Alignment Learning of Diffusion Transformers for Neural Audio Codec
    Sang-Hoon Lee, Ha-Yeong Choi

  • CoV: Chain-of-View Prompting for Spatial Reasoning
    Haoyu Zhao, Akide Liu, Zeyu Zhang, Weijie Wang, Feng Chen, Ruihan Zhu, Gholamreza Haffari, Bohan Zhuang

  • A Graph Talks, But Who’s Listening? Rethinking Evaluations for Graph-Language Models
    Soham Petkar, Hari Aakash K, Anirudh Vempati, Akshit Sinha, Ponnurangam Kumaraguru, Chirag Agarwal

  • Rejection-to-Acceptance Transition: Model Editing-Based Jailbreak Backdoor Injection Not Limited to Few Output Tokens
    Shiji Yang, Min Cai, Hao Xiong, Congyao Mei, Haodong Zou, Shicheng Tan, Jie Chen, Fulan Qian, Shu Zhao

  • Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study
    Yuanjun Zhang, Mourad Oussalah

  • Sounding vs. Being an Expert: Disentangling Authority, Register and Cultural Impact in Sycophantic LLMs
    Gabriele Maraia, Fabio Massimo Zanzotto, Leonardo Ranaldi

  • Datamart-Agent: LLM-Driven Game-Theoretic Agent for Data Marketplace Modeling
    Pangjing Wu, Peter Q. Chen, Xiaodong Li, Wenqi Fan, Li Qing

  • Multi-Drafter Speculative Decoding with Alignment Feedback
    Taehyeon Kim, Hojung Jung, Se-Young Yun

  • Probabilistic Depression Detection from Textual Time Series
    Fabian Schmidt, Seyedehmoniba Ravan, Vladimir Vlassov

  • Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations
    Guy Rotman, Adi Kopilov, Danit Berger Zalmanson, Omri Allouche

  • Multilingual Tokenization through the Lens of Indian Languages: Challenges and Insights
    Maharaj Brahma, NJ Karthika, Rajat Verma, Nagasai Saketh Naidu, Rohit Saluja, Maunendra Sankar Desarkar, Ganesh Ramakrishnan

  • TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models
    Hao Zhang, Lyu mengsi, ChenruiHe, Yulong Ao, Yonghua Lin

  • TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis
    Sikai Bai, Haoxi Li, Jie Zhang, Yongjiang Liu, Song Guo

  • Parallel Context-of-Experts Decoding for Retrieval Augmented Generation
    Giulio Corallo, Paolo Papotti

  • LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics
    Yueyang Ding, HaoPeng Zhang, Rui Dai, Yi Wang, Tianyu Zong, Kaikui Liu, Xiangxiang Chu

  • NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models
    Hyeonseok Moon, Heuiseok Lim

  • From Scores to Preferences: Redefining Evaluation Paradigm for Speech Quality Reward Modeling
    Yifei Cao, Changhao Jiang, Jiabao Zhuang, Jiajun Sun, Ming Zhang, Zhiheng Xi, Hui Li, Shihan Dou, Yuran Wang, Yunke Zhang, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang

  • FIND: Toward Multimodal Financial Reasoning and Question Answering for Indic Languages
    Sarmistha Das, Vaibhav Vishal, Syed Ibrahim Ahmad, Sriparna Saha, Manish Gupta

  • Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models
    Zhichao Sheng, Shilin Zhou, Chen Gong, Zhenghua Li

  • Can Large Language Models Infer Human Actions and Motives? Evaluation in Social Prediction and Inspection Games
    Kaleen Shrestha, Abhinav Gupta, Harish Dukkipati, Zhonghao Shi, Maja Matarić

  • Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM Reasoning
    Raman Saparkhan, Majd Hawasly, Md Rizwan Parvez, Mohammad Raza

  • ZoomRAG: Hierarchical Random-walk Zooming across Multi-scale Information Graphs for Fast and Accurate RAG
    Xianming Hu, Jingyang Chen, Bin Tang, Yihe Liu, Yihong Huang, Hongbo Zhao, Nuoyi Chen, Jie Zhang, Ping Li, Kai Zhang

  • Training Language Models to Use Prolog as a Tool
    Niklas Mellgren, Peter Schneider-Kamp, Lukas Galke Poech

  • Frame of Reference: Addressing the Challenges of Common Ground Representation in Situational Dialogs
    Biswesh Mohapatra, Théo Charlot, Giovanni Duca, Mayank Palan, Laurent Romary, Justine Cassell

  • MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning
    Yimin Deng, Zhenxi Lin, Yejing Wang, Guoshuai Zhao, Pengyue Jia, Zichuan Fu, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Li Zhu, Xian Wu, Xueming Qian

  • Training Verifier to Assessing Complex Real-World Tool-Use Trajectories
    Linzhuang Sun, Mingyang Chen, Hao Liang, Tianpeng Li, ZhouYijie, Chenzheng Zhu, Tianyu Guo, Huanyao Zhang, Jingxuan Wei, Bihui Yu, Fan Yang, Wentao Zhang

  • HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing Performance
    Hao Zhang, Zhenjia Li, Yifan Gao, Xi Xiao, Heng Zhang, Shuyang Zhang, Xiaoxincc, Bo Huang, Yuhang Wu, Tianyang Wang, Hao Xu

  • ConSensus: Multi-Agent Collaboration for Multimodal Sensing
    Hyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee, Fahim Kawsar, Lorena Qendro

  • Beyond High-Entropy Exploration: Correctness-Aware Low-Entropy Segment-Based Advantage Shaping for Reasoning LLMs
    Xinzhu Chen, Xuesheng Li, Zhongxiang Sun, Weijie Yu

  • GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-Making
    Sunguk Shin, Hayeong Lee, JunHo Seo, Jinho Lee, Myunsoo Kim, Minsuk Chang, Byung-Jun Lee

  • EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents
    Yaoqi Guo, Ying Xiao, Jie M. Zhang, Mark Harman, Yiling Lou, Yang Liu, Zhenpeng Chen

  • Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Models
    Mingzi Cao, Xingwei Tan, Mahmud Elahi Akhter, Marco Valentino, Maria Liakata, Xi Wang, Nikolaos Aletras

  • Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration
    Zhuo Wang, Zhuo Zhang, Yafu Li, Yu Cheng, Lizhen Qu, Zenglin Xu

  • LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation
    Tianyu Liu, Qitan Lv, Hao Li, Xing Gao, Xiao Sun, Xiaoyan Sun

  • Answering Cross-Dimensional Geometric Visual Questions by Multi-constraint Spatial Reasoning
    Dongling Li, Qi Chen, Jianxing Yu, Hanjiang Lai, Yanghui Rao, Wenqing Chen, Jian Yin

  • SudokuFill: A Multi-Agent Progressive Filling Framework for Document-Level Scientific Information Extraction
    Yang Li, Yajiao Wang, Yu Zhang, Yuanzhe Zhang, Maodi Hu, Mengting Zhang, Xi Sun, Hua Yue, Zhixiong Zhang

  • Emergent Relational Order in LLM Agent Societies: From Collective Affect to Authority Stratification
    Zhiyuan Ji, Xinyu Chen, Ziqi Dai, Shiyun Tang, Chunyu Wei, Yueguo Chen

  • VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational Agents
    Jiliang Hu, Wenfu Wang, Zuchao Li, Chenxing Li, Yiyang Zhao, Hanzhao Li, Liqiang Zhang, Meng Yu, Dong Yu

  • LLM-FK: Multi-Agent LLM Reasoning for Foreign Key Detection in Large-Scale Complex Databases
    Zijian Tang, Ying Zhang, Sibo Cai, Ruoxuan Wang

  • When Meaning Travels: A Granular Lens on Hybrid-MoE’s Role in Idiomatic Understanding for Language Models
    Sarmistha Das, Vaibhav Vishal, Shreyas Guha, Amaan Ali, Kitsuchart Pasupa, Sriparna Saha

  • IntentCoding: Amplifying User Intent in Code Generation
    Zheng Fang, Yihong Dong, Lili Mou, Dongming Jin, Zhi Jin, Ge Li

  • UbuntuGuard: A Culturally-Grounded Policy Benchmark for Equitable AI Safety in African Languages.
    Tassallah Abdullahi, Macton Mgonzo, Mardiyyah Oduwole, Paul Okewunmi, Abraham Owodunni, Ritambhara Singh, Carsten Eickhoff

  • microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image Classification
    Sathira Silva, Eman Ali, Chetan Arora, Muhammad Haris Khan

  • Prompting Across Time: Evaluating LLMs on Historical and Contemporary Offensive Language
    Sanne Hoeken, Sophie Spliethoff, Silke Schwandt, Sina Zarrieß, Özge Alaçam

  • LDEDE: LRP-Driven Efficient Detection and Editing Framework for LLM Privacy Neurons
    Zhao Zhengyuan, Cao Lifeng, Sunhaodong, Shi Haotian, Du Xuehui, Liu Aodi, Niu Lanjie, Yang Xiaocheng

  • Chimera: Compositional Jailbreak Attacks on LLMs via Judgment-Driven Search over Heterogeneous Strategies
    Leo Hyun Park, Juwon Cho, Gyuhwan Kim, YoonDong Yeo, Taekyoung Kwon

  • Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training Debiasing
    Filip Trhlík, Andrew Caines, Paula Buttery

  • PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data
    Kai Xiong, Yanwei Huang, Rongjunchen Zhang, Kun Chen, Haipang Wu, Yingcai Wu

  • Automated Knowledge Component Generation and Interpretable Knowledge Tracing in Coding Problems
    Zhangqi Duan, Nigel Fernandez, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Rafaella Sampaio de Alencar, Peter Brusilovsky, Bita Akram, Andrew Lan

  • Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification
    Elena Merdjanovska, Omar Zaidan, Andreas Rücklé

  • MATA: Multi-Agent Framework for Reliable and Flexible Table Question Answering
    Sieun Hyeon, Jusang Oh, Sunghwan Steve Cho, Jaeyoung Do

  • Hallucination Detection in Long-Form Text Generated by LLMs: A Benchmark and a Hyper-Relational Knowledge Graph Approach
    Zituo Li, Guangzhou Chen, Jianbin Sun, Qi Song, Yang Kewei

  • Can Intelligent Agents Revolutionize Scale Generation?
    Chenghao Jia, Zhitao Yuan, Zhaokang Zong, YiFei Yin, Zhe Chen, Man Lan, Shengjun Wu

  • On Finding Inconsistencies in Documents
    Charles Lovering, Seth Ebner, Brandon Smock, Michael Krumdick, Saad Rabbani, Ahmed Muhammad, Varshini Reddy, Chris Tanner

  • Towards Preference Following in Tool Calling Language Agents
    Zhi-Yuan Chen, Siyu Lu, Qianlong Xie, Xingxing Wang, Yankai Lin

  • ReSQL: Self-Improving Framework for Reasoning-Aware Text-to-SQL Dataset Generation
    Minjun Park, Yongju Seong, Myoseop Sim, Kyungkoo Min, Stanley Jungkyu Choi

  • Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models
    Felix Herron, Solange Rossato, Alexandre Allauzen, François Portet

  • MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules
    Tong Xu, Xinzhe Cao, Zhihui Zhu, Keyan Ding, Huajun Chen

  • Dynamic Tool Dependency Retrieval for Lightweight Function Calling
    Bhrij Patel, Davide Belli, Amir Jalalirad, Maximilian Arnold, Aleksandr Ermolov, Bence Major

  • Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs
    David Hartmann, Lena Pohlmann, Lelia Hanslik, Noah Gießing, Bettina Berendt, Pieter Delobelle

  • Mending the Holes: Mitigating Reward Hacking in Reinforcement Learning for Multilingual Translation
    Yifeng Liu, Siqi Ouyang, Yatish Hosmane Revanasiddappa, Lei Li

  • MedCoach: Enhancing Medical Reasoning in LLMs via Knowledge Graph-Augmented Chain-of-Thought Distillation
    Chuan Li, Ye Lyu, Chengyu Wang, Mingyuan Fan, Cen Chen

  • Pru-CoT: Towards Efficient Reasoning Distillation via Pruning Chain-of-Thought
    Han Liu, Shuotian Ma, Hui Li, Xiaotong Zhang, Fenglong Ma, Hong Yu

  • Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback
    Jiaye Lin, Mengdi Li, Xufeng Zhao, Wenhao Lu, Peilin Zhao, Stefan Wermter, Di Wang

  • Query-Focused Individual Simulation with Progressive Persona Completion
    Weiwen SU, Naoki Yoshinaga, Masashi Toyoda

  • VIDA: A Visual Intent-driven Design Assistant for Proactive Multimodal Clarification
    Yanshan Liu, Hongbo Zhang, Zhen Sun, Jiaheng Wei, Kaishun Wu

  • DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing
    Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, Jia Fu, Tao Wang, Junwei Jing, Zhaoxin Fan, Wei Bi, Ruiming Tang, Han Li, Guorui Zhou, Kun Gai

  • A Scalable Entity-Based Framework for Auditing Bias in Large Language Models
    Akram Elbouanani, Aboubacar Tuo, Adrian Popescu

  • HiGMem: A Hierarchical and LLM-Guided Memory System for Long-Term Conversational Agents
    Shuqi Cao, Jingyi He, Fei Tan

  • Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning
    Zoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy, Aleksandr Panov, Alexey Skrynnik

  • Adaptive Prompt Optimization for Open-Ended Tasks: Uncertainty Preference as a Secondary Signal
    Shuyang Zhang, Zhixuan Liu, Zhichen Dong, Hao Zhang, Chaochao Lu, Chao Yang

  • DPLoRA: A Dual-Pruning Framework based on ILP Optimization and Progressive Pruning for Parameter-Efficient LoRA Fine-Tuning
    Changjun Park, Sejong Yoon, Jaekwang Kim

  • Demystifying Multi-Agent Debate: The Role of Confidence and Diversity
    Xiaochen Zhu, Caiqi Zhang, Yizhou Chi, Tom Stafford, Nigel Collier, Andreas Vlachos

  • RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs’ Contextual Sensitivity
    Jisu Shin, Hoyun Song, Juhyun Oh, Changgeon Ko, Eunsu Kim, Chani Jung, Alice Oh

  • RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation
    Sihong Wu, Yiling Ma, Yilun Zhao, Tiansheng Hu, Owen Jiang, Manasi Patwardhan, Arman Cohan

  • Is Grokking Worthwhile? Functional Analysis and Transferability of Generalization Circuits in Transformers
    Kaiyu He, Mian Zhang, Peilin Wu, Xinya Du, Zhiyu Chen

  • When 20 Agents Fail to Sort: The Distributed Sorting Benchmark for Scalable Multi-Agent Systems
    Xin Yang, Junhao Wang, Bintao Tang, Xuxin Cheng, Cao Liu, Ke Zeng, Wenyuan Jiang

  • RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation
    Joseph James, Chenghao Xiao, Yucheng Li, Nafise Sadat Moosavi, Chenghua Lin

  • Glance-or-Gaze: Incentivizing LMMs to Adaptively Focus Search via Reinforcement Learning
    Yujin Zhou

  • Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
    JuneHyoung Kwon, MiHyeon Kim, Eunju Lee, JungMin Yun, Byeonggeuk Lim, YoungBin Kim

  • Investigating Links between Illicit Massage Businesses through Natural Language Processing and Graph Machine Learning
    Vasuki Garg, Osman Ozaltin, Maria Mayorga, Sherrie Caltagirone

  • TopoRAG: Graph-based RAG via Topology-aware Approximate Nearest Neighbor Search
    Tianhao Wu, Siqiang Luo

  • Self-Explaining Hate Speech Detection with Moral Rationales
    Francielle Vargas, Jackson Trager, Diego Alves, Matteo Guida, Surendrabikram Thapa, Berk Atıl, Daryna Dementieva, Andrew J Smart, Ameeta Agrawal

  • Principled Detection of Hallucinations in Large Language Models via Multiple Testing
    Jiawei Li, Akshayaa Magesh, Venugopal Veeravalli

  • What Do Vision–Language Models Encode for Personalized Image Aesthetics Assessment?
    Koki Ryu, Hitomi Yanaka

  • A Diversity Diet for a Healthier Model: A Case Study of French ModernBERT
    Louis Estève, Christophe Servan, Thomas Lavergne, Agata Savary

  • Is Your Language Model Ready for Monetization Decisions?
    Jialu Gao, Hua Li, Tracy Ortman, Yeyun Gong, Jian Jiao

  • Activation Reward Models for Few-Shot Model Alignment
    Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogerio Feris, Trevor Darrell, Deva Ramanan, Roei Herzig

  • Cross-lingual Matryoshka Representation Learning across Speech and Text
    Yaya Sy, Christophe Cerisara, Irina Illina

  • TRACE: Two-Phase RL for Causal Graph Exploration and Deeper Psychological Intervention in Dynamic Counseling Scenarios
    Shilin Tang, Zunyi Yin, Xuefeng Liang, Guanghui Shi, Song Tong, Chen Guangyu

  • LLM Multi-Agent Systems for Long Triple Set Data-to-Text Generation
    Chinonso Cynthia Osuji, Simon Mille, Mark Andrade, Jane Adkins, Ornait O’Connell, Elaine Uí Dhonnchadha, Bláithín Heffernan, Fírinne Nic an tSaoir, Anya Belz, Thiago Castro Ferreira, Brian Davis

  • Biomed-Enriched: Data-Efficient Biomedical Pretraining via Paragraph-Level Annotation
    Rian Touchent, Nathan Godey, Éric Villemonte de la Clergerie

  • Identifying the Achilles’ Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models
    Wenxuan Wang, Yuk-Kit Chan, Zixuan Ling, SHI Juluan, Youliang Yuan, Jen-tse Huang, Yifei Zhang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu

  • Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not Stable
    Zhenheng Tang, Qihua Pan, Jingya Shen, Xiang Liu, Qian Wang, Bo Li, Xiaowen Chu

  • FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments
    Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, Gaowen Liu, Ali Payani, Jayanth Srinivasa, Chitta Baral

  • Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models
    Hoang Phan, Xianjun Yang, Yuanshun Yao, Jingyu Zhang, Shengjie Bi, Xiaocheng Tang, Madian Khabsa, Lijuan Liu, Deren Lei

  • ActorMind: Emulating Human Actor Reasoning for Speech Role-Playing
    Xi Chen, Wei Xue, Yike Guo

  • Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching
    Dan Shi, Renren Jin, Zhuowen Han, Yuqi Ren, Xinwei Wu, Zhigen Li, Deyi Xiong

  • Ro-SLM: Onboard Small Language Models for Robot Task Planning and Operation Code Generation
    Wenhao Wang, Yanyan Li, Long Jiao, Jiawei Yuan

  • Just Use XML: Revisiting Joint Translation and Label Projection
    Thennal D K, Chris Biemann, Hans Ole Hatzel

  • CaTS-Bench: Can Language Models Describe Time Series?
    Luca Zhou, Pratham Yashwante, Marshall Fisher, Alessio Sampieri, Zihao Zhou, Fabio Galasso, Rose Yu

  • How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors
    Kuai Yu, Naicheng Yu, Han Wang, Rui Yang, Huan Zhang

  • Scaling Unverifiable Rewards: A Case Study on Visual Insights
    Shuyu Gan, James Mooney, Pan Hao, Renxiang Wang, Mingyi Hong, Qianwen Wang, Dongyeop Kang

  • SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models
    Bingxin Xu, Yuzhang Shang, Binghui Wang, Emilio Ferrara

  • X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation
    Kun Zhao, Chenghao Xiao, Sixing Yan, Haoteng Tang, William K. Cheung, Noura Al Moubayed, Liang Zhan, Chenghua Lin

  • Not All Citations Are Equal:Entropy-Guided Citation Selection for Noise-Resistant Medical LLM
    Minyu Gao, Hanlin Xiao, Ruoyu Wang, Shuai Yang, YeXuan Zhang, Xin Wu, Xingyu Liu

  • Decomposing Unitization and Typing for Efficient and Consistent Span-Bound Concept Annotation
    Nupoor Gandhi, Michael Bada, Emma Strubell

  • InsightEval: An Expert-Curated Benchmark for Assessing Insight Discovery in LLM-Driven Data Agents
    Zhenghao Zhu, Yuanfeng SONG, Xing Chen, Chengzhong LIU, Cui Yakun, Caleb Chen Cao, Sirui Han, Yike Guo

  • ArrowGEV: Grounding Events in Video via Learning the Arrow of Time
    Fangxu Yu, Ziyao Lu, Liqiang Niu, Fandong Meng, Jie Zhou

  • Multi-lingual Functional Evaluation for Large Language Models
    Victor Ojewale, Inioluwa Deborah Raji, Suresh Venkatasubramanian

  • Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models
    Hoang-Chau Luong, Lingwei Chen

  • BoundRL: Efficient Token-level Structured Text Segmentation through Reinforced Boundary Generation
    Haoyuan Li, Zhengyuan Shen, Sullam Jeoung, Yueyan Chen, Jiayu Li, Qi Zhu, Shuai Wang, Vassilis Ioannidis, Huzefa Rangwala

  • *AOT: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search*
    Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, Hangting Ye, Shufei Zhang, Jian Tang, Tianshu Yu*

  • AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding
    Samuel Osebe, Fan Yang, Junyi Li, Yue Gu, Yongxin Wang, Satyapriya Krishna, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Weitong Ruan

  • AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models
    Zhanyu Shen, Sijie Cheng, Zhicheng Guo, Weiqin Wang, Yile Wang, Hui Huang

  • Filling in the Mechanisms: How do LMs Learn Filler-Gap Dependencies under Developmental Constraints?
    Atrey Desai, Sathvik Nair

  • PictoEduca: Building a Dataset for Spanish Text-to-Pictogram Generation
    Alfonso Manuel Paredes Umeres, Marco Antonio Sobrevilla Cabezudo

  • HCFD: A Benchmark for Audio Deepfake Detection in Healthcare
    Mohd Mujtaba Akhtar, Girish, Muskaan Singh

  • Linear Semantic Segmentation for Low-Resource Spoken Dialects
    Kirill Chirkunov, Younes Samih, Abed Alhakim Freihat, Hanan Aldarmaki

  • Thinking Like a Botanist: Challenging Multimodal Language Models with Intent Driven Chain-of-Inquiry
    Syed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin, Hasan Muhammad Abdullah, Md Mehedi Hasan, Mohammad Zabed Hossain, Shifat E. Arman

  • Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns
    Amalie Brogaard Pauli, Maria Barrett, Max Müller-Eberstein, Isabelle Augenstein, Ira Assent

  • Robust In-Context Selection via Online Learned Position-Corrected Attention
    Deeksha Koul, Gaurav Kumar, Yash Sabale, Sunita Sarawagi

  • Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation
    Adam Dejl, James Barry, Alessandra Pascale, Javier Carnerero-Cano

  • TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity
    Zheyuan Yang, Liqiang Shang, Junjie Chen, Xun Yang, Chenglong Xu, Bo Yuan, Chenyuan Jiao, Yaoru Sun, Yilun Zhao

  • Lost in Translation: Do LVLM Judges Generalize Across Languages?
    Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Mir Tafseer Nayeem, Amran Bhuiyan, Mizanur Rahman, Shafiq Joty, Enamul Hoque, Jimmy Huang

  • Making Revisions Understandable: A Survey of Edit Intentions, Methods, and Applications
    Fangping Lan, Qi Zhang, Eduard Dragut

  • GSM-Noise: Exploring and Enhancing Large Language Models’ Reasoning under Noisy Inputs
    Zhengxin Zhang, Chengyu Huang, Xufu Liu, Dan Zhao, Jinyan Su, Claire Cardie

  • VALUE ALIGNMENT TAX: Measuring Value Trade-offs in LLM Alignment
    Jiajun Chen, Hua Shen

  • Confidence-Aware Ranker Ensembles for Robust In-Context Knowledge Editing
    Tejal Nair, Mahmud Wasif Nafee, Maiqi JIANG, Ashley Gao, Haipeng Chen, Yanfu Zhang

  • EMSDialog: Synthetic Multi-person Emergency Medical Service Dialogue Generation from Electronic Patient Care Reports via Multi-LLM Agents
    Xueren Ge, Sahil Murtaza, Anthony Cortez, Homa Alemzadeh

  • Better LLM Reasoning via Dual-Play
    Zhengxin Zhang, Chengyu Huang, Aochong Oliver Li, Claire Cardie

  • CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling
    Karthik Singaravadivelan, Anant Gupta, Zekun Wang, Christopher J. MacLellan

  • Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations
    Bowen Zuo, Dongruo Zhou, Yinglun Zhu

  • CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding
    Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho

  • Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?
    Zewen Liu, Juntong Ni, Xianfeng Tang, Max SY Lau, Qi He, Wenpeng Yin, Wei Jin

  • Reading Between the Lines: The One-Sided Conversation Problem
    Victoria Ebert, Rishabh Singh, Tuochao Chen, Noah A. Smith, Shyamnath Gollakota

  • Fico: Evaluating Vision-Language Models under Visual Fidelity and Compression at Scale
    Jianhong Tu, Nicholas Crispino, Kyle Montgomery, Chenguang Wang, Dawn Song

  • SycoBench-600: Measuring Sycophancy and Correction Selectivity in LLM Assistants
    Debu Sinha

  • Calibrating Model-Based Evaluation Metrics for Summarization
    Hongye Liu, Dhanajit Brahma, Ricardo Henao

  • SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging
    Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche

  • Learning to Control Summaries with Score Ranking
    Hongye Liu, Liang Ding, Ricardo Henao

  • Raw Pointer Rewriting with LLMs for Translating C to Safer Rust
    Yifei Gao, Chengpeng Wang, Pengxiang Huang, Xuwei Liu, Mingwei Zheng, Xiangyu Zhang

  • Beyond Single Plots: A Benchmark for Question Answering on Multi-Charts
    Azher Ahmed Efat, Seok Hwan Song, Wallapak Tavanapong

  • Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation
    Seok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapong

  • FLOP-Efficient Training: Early Stopping Based on Test-Time Compute Awareness
    Hossam Amer, Maryam Dialameh, Hossein Rajabzadeh, Walid Ahmed, Weiwei Zhang, Yang Liu

  • Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning
    Haolin Liu, Dian Yu, Sidi Lu, Yujun Zhou, Rui Liu, Zhenwen Liang, Haitao Mi, Chen-Yu Wei, Dong Yu

  • POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference
    Gehao Zhang, Juan Zhai

  • Who’s Asking? Simulating Role-Based Questions for Conversational AI Evaluation
    Navreet Kaur, Hoda Ayad, Hayoung Jung, Shravika Mittal, Munmun De Choudhury, Tanu Mitra

  • CircuitSynth: Reliable Synthetic Data Generation
    Zehua Cheng, Wei Dai, Jiahao Sun, Thomas Lukasiewicz

  • MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication
    Sraavya Sambara, Yuan Pu, Ayman Ali, Vishala Mishra, Lionel Wong, Monica Agrawal

  • Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics
    Yifu Qiu, Yftah Ziser, Anna Korhonen, Shay Cohen, Edoardo Ponti

  • PL-MTEB: Polish Massive Text Embedding Benchmark
    Rafał Poświata, Sławomir Dadas, Michał Wiktor Perełkiewicz

  • RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions
    Drishti Goel, Jeongah Lee, Qiuyue Zhong, Violeta J. Rodriguez, Daniel S. Brown, Ravi Karkar, Dong Whi Yoo, Koustuv Saha

  • Spectral Gravity Formant Estimation for Phonetic Segmentation
    Michael S. Yantosca, Albert M. K. Cheng

  • Listen, Pause, and Reason: Toward Perception-Grounded Hybrid Reasoning for Audio Understanding
    Jieyi Wang, Yazhe Niu, Dexuan Xu, Zhongyu Wei

  • DeFrame: Debiasing Large Language Models Against Framing Effects
    Kahee Lim, Soyeon Kim, Steven Euijong Whang

  • Idea First, Code Later: Disentangling Problem Solving from Code Generation in Evaluating LLMs for Competitive Programming
    Sama Hadhoud, Alaa Elsetohy, Frederikus Hudi, Jan Christian Blaise Cruz, Steven Halim, Alham Fikri Aji

  • LLMs in the Real World: Evaluating “AI” in Emergency Contexts
    Sara Court, Lara Downing, Micha Elsner

  • A Survey of Toxicity Mitigation Strategies for Multilingual Language Models
    Soham Dan, Himanshu Beniwal, Thomas Hartvigsen

  • LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment
    Ziwei Wang, Jie Zhou, Qin Chen, Bo Jiang, Qingchun Bai, Liang Dou, Liang He

  • Fast-Decoding Diffusion Language Models via Progress-Aware Confidence Schedules
    Amr Mohamed, Yang Zhang, Michalis Vazirgiannis, Guokan Shang

  • When Cultures Meet: Multicultural Text-to-Image Generation
    Parth Bhalerao, Oana Ignat, Brian Trinh, Mounika Yalamarty

  • Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs
    Byeonggeuk Lim, JungMin Yun, JuneHyoung Kwon, Kyeonghyun Kim, YoungBin Kim

  • VocalRep: Structure-Aware Vocal Representations for Multimodal Generation
    Da Shen, Zhenqiang Weng, Tianyu Liu, Gongyu Chen, Runhua Shi, Jiahui Chen, Chaofan Ding, Wei-Qiang Zhang, Zihao Chen

  • RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories
    Yanlin Wang, Ziyao Zhang, Chong Wang, Xinyi Xu, Mingwei Liu, Yong Wang, Jiachi Chen, Zibin Zheng

  • InfiAgent: An Infinite-Horizon Framework for General-Purpose Autonomous Agents
    Chenglin Yu, Yuchen Wang, Songmiao Wang, Hongxia Yang, Ming Li

  • Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction
    Mingchen Li, Jiatan Huang, Zonghai Yao, Hong Yu

  • GAVEL: Evidence-Contract Debate with Mechanized Scrutiny for Provenance-Grounded Fact-Checking
    Ruoyu Xu, Gaoxiang Li, Victor S. Sheng

  • EMPATH: An Ensemble Method for Automatic Fine-Grained Turn-Level Dialogue Empathy Evaluation with a Novel Emotional Distance Metric
    Dongning Rao, Zhihua Liang, Zhihua Jiang

  • Q2EI: Query-to-Entity Inference for Semantic Condensation in Domain-Specific Retrieval
    Yixuan Sun, Zhenqin Xu, Hanfeng Zhai, Zishu Yu, Xiaohui Peng

  • TVWorld: Foundations for Remote-Control TV Agents
    Zhantao Ma, Quanfeng Lu, Shuai Zhong, Dahai Yu, Ping Luo, Michael Ng

  • RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine
    Jiatan Huang, Mingchen Li, Zonghai Yao, Dawei Li, Yuxin Zhang, Zhichao Yang, Yongkang Xiao, Feiyun Ouyang, Xiaohan Li, Shuo Han, Hong Yu

  • PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption
    Xue Tan, Yi Zheng, Chang Huo, Yunruo Zhang, Yu Liu, Hao Luan, Zhuyang Yu, Xiaoyan Sun, Ping Chen, Jun Dai

  • Evaluating Perspectival Biases in Cross-Modal Retrieval
    Teerapol Saengsukhiran, Peerawat Chomphooyod, Narabodee Rodjananant, Chompakorn Chaksangchaichot, Patawee Prakrankamanant, Witthawin Sripheanpol, Pak Lovichit, Sarana Nutanong, Ekapol Chuangsuwanich

  • Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real World
    Yulong Wu, Viktor Schlegel, Riza Batista-Navarro

  • Measuring Watermarking under Jailbreaking: ASR Inflation and Goal-Compliance Mismatch
    Sungwoo Han, Sangjun Moon, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura

  • Inventive Problem Solving with LLMs: A Benchmark for TRIZ Reasoning
    Zhu Wang, Brian Uzzi

  • Do LLM Agents Really Mimic Humans? Diagnosing and Aligning Microeconomic Behaviors in Macro-ABMs
    Guangya Liu, Cheng Wang, Jiangtong Li, Huafei Wu, Changjun Jiang

  • Explanation Quality Assessment as Ranking with Listwise Rewards
    Thomas Bailleux, Tanmoy Mukherjee, Emmanuel Lonca, Pierre Marquis, Zied Bouraoui

  • ViLegalLM: Language Models for Vietnamese Legal Text
    Truong-Phuc Nguyen, Quy-Nhan Nguyen, Minh-Tien Nguyen

  • From Heads to Neurons: Causal Attribution and Steering in Multi-Task Vision–Language Models
    Qidong Wang, Junjie Hu, Ming Jiang

  • Syntax as a Rosetta Stone: Universal Dependencies for In-Context Coptic Translation
    Abhishek Purushothama, Emma Thronson, Alexia Guo, Amir Zeldes

  • AI Agents for the Science of Science: A Survey of Tasks, Architectures, Evaluations, and Challenges
    Yixuan Liu, Yicheng Zhang

  • A2O: LLM-based Agentic Learning of Action-to-Object Features for Video Action Recognition
    Taiki Sekii, Fumiaki Sato

  • PrinciplismQA: A Philosophy-Grounded Approach to Assessing LLM-Human Clinical Medical Ethics Alignment
    Chang Hong, Minghao Wu, Qingying Xiao, Yuchi Wang, Xiang Wan, Guangjun Yu, Benyou Wang, Yan Hu

  • Take Out Your Calculators: Estimating the Real Difficulty of Question Items with LLM Student Simulations
    Christabel Acquaye, Yi Ting Huang, Marine Carpuat, Rachel Rudinger

  • SAFER: Advancing Safety Alignment via Efficient Ex-Ante Reasoning
    Kehua Feng, Keyan Ding, Yuhao Wang, Menghan Li, Fanjunduo Wei, Xinda Wang, Huajun Chen

  • Speculative Verification: Exploiting Information Gain for Speculative Decoding
    Sungkyun Kim, Jaemin Kim, Dogyeong Yun, Jiho Shin, Junyeol Lee, Jiwon Seo

  • EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving
    Xiyuan Zhou, Xinlei Wang, Yirui He, Ruixi Zou, Yang Wu, Yuheng Cheng, Yulu Xie, Wenxuan Liu, Huan Zhao, Yan Xu, Jinjin Gu, Junhua Zhao

  • LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey
    Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Jizhou Guo, Yankai Chen, Chunyu Miao, Hoang H Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Hanrong Zhang, Fangxin Wang, Pengfei Zhang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Philip S. Yu

  • Thinking Twice Makes Large Language Models Safer and More Helpful
    Yutao Mou, Yuxiao Luo, Shikun Zhang, Wei Ye

  • AEQ-Bench: Measuring Empathy of Omni-Modal Large Models
    Xuan Luo, Lewei Yao, Lanqing HONG, Kai Chen, Dehua Tao, Daxin Tan, Yukun Deng, Ruifeng Xu, Jing Li

  • BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search
    Shiyu Liu, Yongjing Yin, Jianhao Yan, Yunbo Tang, Qinggang Zhang, Bei Li, Xin Chen, Jingang Wang, Xunliang Cai, Jinsong Su

  • GRASP: Graph-Reasoning Aided Survey Planning for High-Fidelity Related Work Generation
    Haoming Li, Jessica Ouyang

  • Benchmarking Agentic Newswriting via Journalistic Workflows
    Yen-Che Chien, Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng

  • Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement
    Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal

  • Switching Heads and Softening Tokens: Turnkey Solutions to Visually Grounded Document QA
    Ximing Wen, Wenbo Li, Sudipta Paul, Yashas Malur Saidutta, Kalpa Gunaratna, Srinivas Chappidi

  • HTMuon: Improving Muon via Heavy-Tailed Spectral Correction
    Tianyu Pang, Yujie Fang, Zihang Liu, Shenyang Deng, Lei Hsiung, Shuhua Yu, Yaoqing Yang

  • Can Large Language Models Effectively Support Decision-Making in Sudden Emergencies?
    Mengna Zhu, Jibing Wu, Lihua Liu, Yuran Gong, Yang Hao, Fu Yachao, Mao Wang, Lei Hou, Juanzi Li

  • J-Shuwa: A Large-Scale Web-Collected Japanese Sign Language-Japanese Parallel Corpus
    Junwen Mo, MinhDuc Vo, Noriki Nishida, Shin’ichi Satoh, Hideki Nakayama

  • Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization
    Mingkuan Zhao, Wentao Hu, Tianchen Huang, Yuheng Min, Suquan Chen, Yide Gao, Yanbo Zhai, Shuangyong Song, Xuelong Li

  • ConvX: A Lightweight Converter to Bridge Indexed Dense Representations and Large Language Models for Retrieval-Augmented Generation
    Bonggeun Choi, Keunha Kim, Junho Han, Youngjoong Ko

  • Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time
    Mingkuan Zhao, Yide Gao, Wentao Hu, Suquan Chen, Tianchen Huang, Zhenhua An, Zetao Chang, Xiayu Sun, Yuheng Min

  • S2H-DPO: Hardness-Aware Preference Optimization for Vision–Language Models
    Nitish Shukla, Surgan Jandial, Arun Ross

  • Dr. Assistant: Enhancing Clinical Diagnostic Inquiry via Structured Diagnostic Reasoning Data and Reinforcement Learning
    Yue Guo, Fanfu Wang, Jianwei Lv, Xincheng Shi, Yuchen Li, Youya Wang, Yunsheng Zeng, Yujing Liu, Yunhao Qiao, Gen Li, Junfeng Wang, Bo Yuan

  • FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memes
    Liuliu Chen, Elise Carrotte, Brian E. Chapman, Jo Robinson, Mike Conway

  • Activation Steering for Chain-of-Thought Compression
    Seyedarmin Azizi, Erfan Baghaei Potraghloo, Souvik Kundu, Massoud Pedram

  • Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say “I Don’t Know”
    Dhruv Madhwal, Lyuxin Zhang, Dan Roth, Tomer Wolfson, Vivek Gupta

  • VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in Taiwan
    Zhi Rui Tam, Yung-Yu Shih, Yen-Wei Lee, Ya-Ting Pai, Wen Yu Chang, Yun-Nung Chen

  • PsyChain: A Collaborative Chain-of-Agents Framework for Generating Personalized and Professional Counseling Dialogues
    Yi Feng, Zijie Yang, Chen Zhang, Wenxuan Zhang, Dongming Zhang, Liping Jing, Jian Yu

  • Breaking the Autoregressive Chain: Hyper-Parallel Decoding for Efficient LLM-Based Attribute Value Extraction
    Theodore Glavas, Nikhita Vedula, Dushyanta Dhyani, Yilun Zhu, Shervin Malmasi

  • On the Editability of Delta Parameters in Post-Trained Models
    Qiaoyu Tang, Le Yu, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Le Sun

  • Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented Generation
    Hieu Man, Ro-ee Tal, Abhishek Kumar, Jaejin Cho, Benjamin Hsu

  • LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning
    Zhengjun Huang, Zhoujin Tian, Qintian Guo, Fangyuan Zhang, Yingli Zhou, Di Jiang, Zeying Xie, Xiaofang Zhou

  • Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments
    Yifan Liu

  • Dialectic-Med: Mitigating Diagnostic Hallucinations via Counterfactual Adversarial Multi-Agent Debate
    Zhixiang Lu, Jionglong Su

  • EPIR: Capturing Promoting and Inhibiting Relationships between Events
    Bowen Dong, Wenjun Wang, Xueli Liu, Quanlin Qiu

  • EULoInf: Efficient Hessian-Free Entropy Based Uncertainty-Aware Data Influence Approximation
    Runxin Cai, Jingtan Wang, Bryan Kian Hsiang Low

  • CodeRise: Bootstrapping LLMs for Ultra Low-Resource Programming Languages via Progressive Self-Refinement Curriculum
    Tengfei Wen, Xuanang Chen, Ben He, Xiaoliang Cong, Le Sun

  • What Tokens Truly Matter? The Logit Conflation Problem in LLM Sampling
    Pinlong Zhao, Huijun Tang, Pengfei Jiao, Mengyang Li

  • Bears, all bears, and some bears. Language Constraints on Language Models’ Inductive Inferences
    Sriram Padmanabhan, Siyuan Song, Kanishka Misra

  • B-APO: Bias-Targeted Adversarial Preference Optimization for Debiasing Multimodal Large Language Models
    Pinlong Zhao, Zike Ding, Zengshu Ye, Zhou Zhaoting

  • On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation
    Chan-Jan Hsu, Liang-Hsuan Tseng, Yi-Cheng Lin, Yen-Chun Kuo, Ju-Chieh Chou, Kai-Wei Chang, Hung-yi Lee, Carlos Busso

  • Modeling and Solving Stable Matching under Probabilistic Preferences with Large Language Models
    Yuqi Kong, Shiyu Liu, Jiaxu Li, Hongtao Liu, Qi Qi, Weiran Shen

  • XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics
    Jingxuan Liu, Zhi Qu, Jin Tei, Hidetaka Kamigaito, Lemao Liu, Taro Watanabe

  • Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence
    Kaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, Ramez Kouzy, Wei Xu, Byron C Wallace, Junyi Jessy Li

  • Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception
    Yize Cheng, Arshia Soltani Moakhar, Chenrui Fan, Parsa Hosseini, Kazem Faghih, Zahra Sodagar, Wenxiao Wang, Soheil Feizi

  • How Do LLMs “Trust” Unknown Knowledge? An Unknown Knowledge Based Jailbreak Attack
    Yixiao Huang, Lan Zhang, Chaoran Wang

  • ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback
    Yutao Mou, Zhangchi Xue, Lijun Li, Peiyang Liu, Shikun Zhang, Wei Ye, Jing Shao

  • A Survey of Large Models in Sports
    Yichen Xu, Jianzhe Ma, Chuhan Wang, Zhonghao Cao, Liangyu Chen, Wenxuan Wang, Qin Jin

  • SafetyALFRED: Evaluating Safety-Conscious Planning of Vision Language Models
    Josue Torres-Fonseca, Naihao Deng, Yinpei Dai, Shane Storks, Yichi Zhang, Rada Mihalcea, Casey Kennington, Joyce Chai

  • Towards Unified Multimodal Large Language Models: A survey
    Xu Ma, Yitian Zhang, Yun Fu

  • *♪ Something Just Like TRuST ♪ *: Toxicity Recognition of Span and Target**
    Berk Atil, Namrata Sureddy, Rebecca J. Passonneau*

  • Synergizing Stylometrics with Semantics: Dual-Path Framework for LLM Detection and Attribution
    Xingyu Lu, Yumeng Ma, Xiang Zhou, Shengli Gan, Guiying Deng, Yang Wen, Yanbing Liu

  • Enhancing Multilingual Reasoning via Steerable Model Merging
    Zhuoran Li, Rui Xu, Jian Yang, Junnan Liu, Zhijun Chen, Qianren Mao, Hongcheng Guo, Jiaheng Liu, Likang Xiao, Ming Li, Xiaojie Wang

  • Adaptive Backtracking for Privacy Protection in Large Language Models
    Zhihao Yao, Yuxuan Gu, Xiachong Feng, Weitao Ma, Bo Li, Xiaocheng Feng, Bing Qin

  • SemPA: Improving Sentence Embeddings of Large Language Models through Semantic Preference Alignment
    Ziyang Chen, Zhenxuan Huang, Yile Wang, Weiqin Wang, Lu Yin, Hui Huang

  • Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments
    Yunsung Kim, Michael Hardy, Joseph Tey, Candace Thille, Christopher J Piech

  • DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language Models
    Shunge Zou, Changhu Wang, Wei Ju, Ziyue Qiao, Xiao Luo

  • How to Set the Learning Rate for Large-Scale Pre-training?
    Yunhua Zhou, Shuhao Xing, Junhao Huang, Xipeng Qiu, Qipeng Guo

  • Evaluating Large Vision Language Models on Bangla Medical Visual Question Answering
    Rafid Ahmed, Intesar Tahmid, Mir Sazzat Hossain, Tasnimul Hossain Tomal, Md Mahir Jawad, Anam Borhan Uddin, Md Fahim, Md Farhad Alam Bhuiyan

  • SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning
    Fanqi Kong, Weiqin Zu, Xinyu Chen, Yaodong Yang, Song-Chun Zhu, Xue Feng

  • No One Fits All: From Fixed Prompting to Learned Routing in Multilingual LLMs
    Wei-Chi Wu, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen

  • Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning
    Yongcan Yu, Lingxiao He, Jian Liang, Kuangpu Guo, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He

  • Steering LLM Thinking with Budget Guidance
    Junyan Li, Wenshuo Zhao, Yang Zhang, Chuang Gan

  • Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding
    Taewon Yun, Jisu Shin, Jeonghwan Choi, Seunghwan Bang, Hwanjun Song

  • Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models
    Can Xu, Lingyong Yan, Jiayi Wu, Haosen Wang, Shuaiqiang Wang, Yuchen Li, Jizhou Huang, Dawei Yin, Xiang Li

  • PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models
    Zetian Ouyang, Linlin Wang, Gerard de Melo, Liang He

  • D2PCM:A Multi-Turn Dialogue Dataset with Personalized Contextual Memory
    Zhe Yang, Yi Huang, Yaqin Chen, Chunyang Gao, Jingyu Yao, Junlan Feng

  • MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token Prediction
    Ke Wang, Aohan Zeng, Zhengxiao Du, Yuxuan Hu, Bohan Zhang, Xinyi Wang, Jie Tang, Jing Zhang

  • ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
    Juyong Jiang, Jiasi Shen, Sunghun Kim, Kang Min Yoo, Jeonghoon Kim, Sungju Kim

  • TRAC: Token-level Reward Assignment for Coherent Abstractive Summarization
    Xuanqi Chen, Ziying Rong, Xinfeng Liao, Lianxi Wang, Ying Gao, Shengyi Jiang

  • Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation
    Hanwen Gu, Chao Guo, Junle Wang, Wenda Xie, Yisheng Lv

  • Enrich, Aggregate, and Generate: Three-stage Biomedical Data-to-Text Generation Using Large Language Models in Low-resource Scenarios
    Yupian Lin, Guangya Yu, Cheng Yuan, Hui Luo, Yuang Bian, Tong Ruan

  • HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST
    Shuyu Zhang, Yifan Wei, Xinru Wang, Yanmin Zhu, Yangfan He, Yixuan Weng, Yujie Liu, Bin Li

  • From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQA
    Jing Zhang, Lianghong Guo, Yanlin Wang, Terry Yue Zhuo, Yong Wang, Mingwei Liu, Jiachi Chen, Ensheng Shi, Yuchi Ma, Hongyu Zhang, Zibin Zheng

  • LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape Elevation
    Jin Zhong, Jinglin Liang, Tongtong Yang, Zijian Xie, Shuangping Huang, Hanlin Gu

  • Beyond Compromise: Pareto-Lenient Consensus for Efficient Multi-Preference LLM Alignment
    Renxuan Tan, Rongpeng Li, Zhifeng Zhao, Honggang Zhang

  • HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs
    Ru Peng, Tianyu Zhao, Xijun Gu, Zhiting Fan, Haokai Xu, Jinyang Zhang, Yawen Zeng, Yihong Zhuang, Kexin Yang, Junyang Lin, Dayiheng Liu, Junbo Zhao

  • LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing
    Hao Li, Yiqun Zhang, Zhaoyan Guo, Chenxu Wang, Shengji Tang, Qiaosheng Zhang, Yang Chen, Biqing Qi, Peng Ye, Lei Bai, Zhen Wang, Shuyue Hu

  • CEMT：Controllable Element-Oriented Machine Translation via Structured Linguistic Reasoning
    Lingling Shi, Haoyu Jin, Ruiyu Fang, Shuangyong Song, Jinsong Su, Yongxiang Li, Xuelong Li

  • Orchestrating Tokens and Sequences: Dynamic Hybrid Policy Optimization for RLVR
    Zijun Min, Bingshuai Liu, Ante Wang, Long zhang, Anxiang Zeng, Haibo Zhang, Jinsong Su

  • Seeing Isn’t Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents
    Hanlin Wang, Chak Tou Leong, Jian Wang, Wenjie Li

  • AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?
    Henan Sun, Kaichi Yu, Yuyao Wang, Bowen Liu, Xunkai Li, Rong-Hua Li, Nuo Chen, Jia Li

  • A Learnable Skill Combination Strategy for Multi-task Learning in Natural Language Understanding
    Zhe Yang, Yi Huang, Yaqin Chen, Mengfei Guo, Xiaoting Wu, Junlan Feng

  • CoopValue: Revealing LLM Value Preferences Through Multi-Agent Cooperation
    Zee Hen Tang, Mi-Yen Yeh

  • QUARTZ: Quantile-Aware Routing and Queueing for TTFT SLOs in LLM Serving
    Zhipeng Liu, Yifan Zheng, Fanqi Kong, Ziming Zhao

  • MPTc-Bench: Measuring Cross-market Generative Ability of Vision-Language Models via Movie Poster Transcreation
    Youyuan Lin, Yuan Li, Yahan Yu, Fei Cheng, Shin’ya Nishida, Chenhui Chu

  • Counterfactual Fairness Evaluation of LLM-Based Contact Center Agent Quality Assurance System
    Kawin Mayilvaghanan, Siddhant Gupta, Ayush Kumar

  • Masked Text-to-Audio Flow-Matching and Reward Feedback Optimization
    Rongjie Huang, Dongchao Yang, Wenxiang Guo, Huadai Liu, Xize Cheng, Zehan Wang, Zhou Zhao, Xixin Wu, Helen M. Meng

  • Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs
    Wenhao Yu, Zhicong Lu, Bo Lv, Fangyin Ma, Kaiwen Wei, Shihao Yang, Nayu Liu

  • Debiasing LLMs by Masking Unfairness-Driving Attention Heads
    Tingxu Han, Wei Song, Ziqi Ding, Ziming Li, Chunrong Fang, Yuekang Li, Dongfang Liu, Zhenyu Chen, Zhenting Wang

  • Single-Agent Generation Surpasses Multi-Agent Systems in Semantic Diversity
    Encheng Cui, Shaowen Peng, Kazuhiro Ito, Jinsha Xu, Shohei Hisada, Shoko Wakamiya, Eiji Aramaki

  • Med-SRAF: A Multi-Agent Framework for Medical Reasoning via Semantic Routing and Agentic Fusion
    Xiao Li, Zhuo Chen, Jun Xia, Hongxin Xiang, Chao Wang, Wenjie Du, Yang Wang

  • R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning
    Qingfei Zhao, Ruobing Wang, Dingling Xu, Daren Zha, Ma Bowen, Zhichun Wang, Shijie Jia, Limin Liu, Xin Wang

  • Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference
    Wenxuan Xie, Xuhong Wang

  • AnchorAlign: A Novel Anchor Alignment-enhanced Generative Method for Joint Named Entity Recognition and Relation Extraction
    Xiaolong Weng, Yuanyun Zhou, Boyu Qiu, Zehua Wang, Ying Xiong, Buzhou Tang

  • Why Can Distillation Work with Limited Resources? A Systematic Study
    Xiao Hu, Xingyu Lu, Liyuan Mao, YiFan Zhang, Tianke Zhang, Bin Wen, Fan Yang, Tingting Gao, Guorui Zhou

  • Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better
    Dianyi Wang, Wei Song, Yikun Wang, Siyuan Wang, Kaicheng Yu, Zhongyu Wei, Jiaqi Wang

  • MSCode: Advancing Human Motion-Language Understanding via Modality-Shared Codebook
    Haoyu Shi, Huaiwen Zhang

  • RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
    Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He

  • CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning
    Zhuo Wang, Zhuo Zhang, Yafu Li, Yu Cheng, Lizhen Qu, Zenglin Xu

  • Feedback Is The Key for Automated Survey Generation
    Tianyi Xu, Zhe Zhao, Tianshuo Wei, Yiqun Kou, Liuliu Han, Ye Wei

  • Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
    Bang Zhang, Ruotian Ma, Qingxuan Jiang, Peisong Wang, Jiaqi Chen, Zheng Xie, Xingyu Chen, Yue Wang, Fanghua Ye, Jian Li, Yifan Yang, Zhaopeng Tu, Xiaolong Li

  • Alignment Data Map for Efficient Preference Data Selection and Diagnosis
    Seohyeong Lee, Eunwon Kim, Hwaran Lee, Buru Chang

  • Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs
    Yehonatan Pesiakhovsky, Zorik Gekhman, Yosi Mass, Liat Ein-Dor, Roi Reichart

  • When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews
    Sandeep Kumar, Yash Kamdar, Abid Hossain, Bharti Kumari, Tanik Saikh, Asif Ekbal

  • One Script Instead of Hundreds? On Pretraining Romanized Encoder Language Models
    Benedikt Ebing, Lennart Keller, Goran Glavaš

  • Relaxing the Constraints: A Dual-Importance Projection Mechanism for Lifelong Model Editing
    Zhenghai Chen, Senbin Xu, Jiaxi Tan, Xinhua Wu, Yan Zhang, Xiawu Zheng, Shengchuan Zhang, Ke Li, Sicheng Zhao, Liujuan Cao, Rongrong Ji

  • Not all ANIMALs are equal: metaphorical framing through source domains and semantic frames
    Yulia Otmakhova, Matteo Guida, Lea Frermann

  • DualFact+: A Multimodal Fact Verification Framework for Procedural Video Captioning
    Cennet Oguz, Yasser Hamidullah, Josef van Genabith, Simon Ostermann

  • From Scaffolding to Assimilation: Progressive Structural Internalization for Format-Constrained Creative Text Generation
    Wenhao Li, Yuwei Yang, Xiaoqing Wu, Yufeng Han, Cunliang Kong, Yuzhuo Bai, Xin Cong, Maosong Sun

  • Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning
    Qihua Dong, Ruozhen He, Junwen Chen, Yizhou Wang, Xu Ma, Songyao Jiang, Yun Fu

  • Semantic-Space Exploration and Exploitation in RLVR for LLM Reasoning
    Fanding Huang, Guanbo Huang, Xiao Fan, Yi He, Xiao Liang, Xiao Chen, Qinting Jiang, Faisal Nadeem Khan, Jingyan Jiang, Zhi Wang

  • Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization
    Jiantong Jiang, Peiyu Yang, Rui Zhang, Feng Liu

  • A Counterfactual Explanation Framework for Retrieval Models
    Bhavik Chandna, Procheta Sen

  • Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation
    Srujan Mule, Aniketh Garikaparthi, Manasi Patwardhan

  • Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare Dictator
    Zhengliang Shi, Ruotian Ma, Jen-tse Huang, Xinbei Ma, Xingyu Chen, Mengru Wang, Qu Yang, Yue Wang, Fanghua Ye, Ziyang Chen, Shanyi Wang, Cixing Li, Wenxuan Wang, Zhaopeng Tu, Xiaolong Li, Zhaochun Ren, Liefeng Bo

  • From Individual Excellence to Collective Sustainability: Seeking Strategic Equilibrium in Proactive Multi-Agent Teams
    Tong Zhang, Yang Wu, Yufei Shi, Rujing Yao, Zhuoren Jiang, Xiaozhong Liu

  • Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models
    Hyunjong Ok, Jaeho Lee

  • SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction
    Zehua Wang, Zhaojin Zhang, Boyu Qiu, Xiaolong Weng, Ying Xiong, Buzhou Tang, Min Zhang

  • KnowDR-REC: Auditing Knowledge-Conditioned Visual Grounding in Referring Expression Comprehension
    Guanghao Jin, Jingpei Wu, Tianpei Guo, Yiyi Niu, Weidong Zhou, Linyi Yang, Guoyang Liu

  • Agent for Numerical Data Retrieval and Understanding by Code Generation and Multimodal Reasoning
    Florian Baud, Feda Almuhisen, Dorian Midou

  • Cause-CSD: A Challenge Multimodal Conversational Stance Cause Detection Dataset and Effective Method
    Fuqiang Niu, Bowen Zhang, Junting Zhu, Qing Liao, Genan Dai, Hu Huang

  • The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs
    Piotr Nawrot, Jianing Li, Renjie Huang, Sebastian Ruder, Kelly Marchisio, Edoardo Ponti

  • Uncertainty-Aware Contrastive Sentence Embedding With Local Context Representation for Text Classification
    Han Liu, Jiaqing Zhan, Zhichao Chen, Qin Zhang

  • ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching
    Han Zhu, Wei Kang, Liyong Guo, Zengwei Yao, Fangjun Kuang, Weiji Zhuang, Zhaoqing Li, Zhifeng Han, Dong Zhang, Xin Zhang, Xingchen Song, Lingxuan Ye, Long Lin, Daniel Povey

  • All Prompts Are Created Equal? Evaluating Robustness of LLM Judges Against Non-Adversarial Prompt Variations
    Savita Bhat, Vasudeva Varma

  • Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart
    Kang Chen, Fan Yu, Junjie Nian, Shihan Zhao, Zhuoka Feng, Zijun Yao, Heng Wang, Minshen Yu, Yixin Cao

  • Instruction-Guided Poetry Generation in Arabic and Its Dialects
    Abdelrahman Sadallah, Kareem Elozeiri, Mervat Abassy, Rania Elbadry, Mohamed Anwar, Abed Alhakim Freihat, Preslav Nakov, Fajri Koto

  • Agentic Verification for Ambiguous Query Disambiguation
    Youngwon Lee, Seung-won Hwang, Ruofan Wu, Feng Yan, Danmei Xu, Moutasem Akkad, Zhewei Yao, Yuxiong He

  • DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models
    Hao Yang, Jin Wang, Xuejie Zhang

  • From Tasks to Teams: A Risk-First Evaluation Framework for Multi-Agent LLM Systems in Finance
    Zichen Chen, Jianda Chen, Jiaao Chen, Misha Sra

  • Parametric Knowledge is Not All You Need: Toward Honest Large Language Models via Retrieval of Pretraining Data
    Christopher Adrian Kusuma, Muhammad Reza Qorib, Hwee Tou Ng

  • TIME: Temporally Intelligent Meta-reasoning Engine for Context-Triggered Explicit Reasoning
    Susmit Das

  • Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning
    Dongjie Cheng, Yongqi Li, Zhixin Ma, Hongru Cai, Yupeng Hu, Wenjie Wang, Liqiang Nie, Wenjie Li

  • Time-for-Accuracy: Formalizing Chain-of-Thought as an Expansion of Logical Depth
    Yue Wang, Zhi Zhang, Wang Xi, Chengjie Sun, Lili Shan, Bingquan Liu

  • DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs
    Shidong Cao, Hongzhan Lin, Yuxuan Gu, Ziyang Luo, Jing Ma

  • System-Mediated Attention Imbalances Make Vision-Language Models Say Yes
    Tsan Tsai Chan, Varsha Suresh, Anisha Saha, Michael Hahn, Vera Demberg

  • SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization
    Bo-Jyun Wang, Ying-Jia Lin, Hung-Yu Kao

  • Valid ≠ Necessary: Diagnosing Latent Inefficiency in Chain-of-Thought
    Daeyeop Lee, Hwanjo Yu

  • CausalGaze: Unveiling Hallucinations via Counterfactual Graph Intervention in Large Language Models
    Linggang Kong, Lei Wu, Yunlong Zhang, Xiaofeng Zhong, Wang Zhen, Yongjie Wang, Yao Pan

  • Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric Perspective
    Yining Qian, Jinpeng Li, Fei Mi, Lifeng Shang, Xiang Zhang

  • From What Is Said to Why It Is Framed: Intent-Aware News Video Understanding
    Xiangzheng Kong, Minnan Luo, Wenya Wang, Jiaying Wu, Zhi Zeng, Guang Dai

  • H-MAS: Hierarchical Multi-Agent Scheduling for Multi-Tenant LLM Serving
    Yuhan Liu, Cong Xu, Qi Jia, Yihua Wang, Feiyu Chen, Liang Jin, Lu Liu, Yaqian Zhao, Yuting Ding, Xiang Li

  • EvoMD-LLM: Learning the Language of Species Evolution in Reactive Molecular Dynamics
    Zhichen Tang, Zhengzheng Dang, Yulin Chen, Jixin Wu, Haiwen Li, Yanming Wang

  • Do Image–Text Metrics Respect Semantic Invariances?
    Amit Agarwal, Hitesh Laxmichand Patel, Meizhu Liu, Jyotika Singh, Karan Dua, Hansa Meghwani, Matthew Rowe, M. Avendi, Yassi Abbasi, Tao Sheng, Sujith Ravi, Dan Roth

  • Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space
    Chao Chen, Zhixin Ma, Yongqi Li, Yupeng Hu, Yinwei Wei, Wenjie Li, Liqiang Nie

  • Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO
    Nikolay Blagoev, Oguzhan Ersoy, Lydia Chen

  • SocraticKG: Knowledge Graph Construction via QA-Driven Fact Extraction
    Sanghyeok Choi, Woosang Jeon, Kyuseok Yang, Taehyeong Kim

  • GROLE: Instance-Level Group Relative Optimization for LoRA Experts in Incremental Learning
    Yongyi Liao, Wencan Lai, Jun Fang, Jinjin Guo, Xiaohui Zhang, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Qixia Jiang

  • SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering
    FU Yuqing, Yimin Deng, Wanyu Wang, Yuhao Wang, Yejing Wang, Hongshi Liu, Yiqi Wang, Xiao Han, Maolin Wang, Guoshuai Zhao, Yi Chang, Xiangyu Zhao

  • Why Did Apple Fall: Evaluating Curiosity in Large Language Models
    Haoyu Wang, Sihang Jiang, Yuyan Chen, Yitong Wang, Xiaojun Meng, Jiansheng Wei, Yanghua Xiao

  • Gaperon: A Peppered English-French Generative Language Model Suite
    Nathan Godey, Wissam Antoun, Rian Touchent, Rachel Bawden, Éric Villemonte de la Clergerie, Benoît Sagot, Djamé Seddah

  • Rhombus: Incentivizing Coordination in Parallel Thinking through Reinforcement Learning
    Ziyuan Nan, Qi Yi, Di Huang, Yutong Wu, Guanhua Huang, Xue Gong, Kejiao Li, Yuhao Jiang, Chenchen Zhang, Zenan Xu, Xing Hu, Bo Zhou

  • FLARE: Task-Agnostic Embedding Model Evaluation via Normalizing Flows
    Jingzhou Jiang, Yixuan Tang, Yi Yang, Kar Yan Tam

  • RCTEA: Richness-guided Co-training for Temporal Entity Alignment
    Jiayun Li, Wen Hua, Shiqi Fan, Fengmei Jin, Haiyang Jiang, Xue Li

  • SQLAgent: Learning to Explore Before Generating as a Data Engineer
    Wenjia Jiang, Yiwei Wang, Boyan Han, Joey Tianyi Zhou, Chi Zhang

  • Reasoning Up the Instruction Ladder for Controllable Language Models
    Zishuo Zheng, Vidhisha Balachandran, Chan Young Park, Faeze Brahman, Sachin Kumar

  • CRISP: Compressing Redundancy in Chain-of-Thought via Intrinsic Saliency Pruning
    Yangsong Lan, Hongliang Dai, Piji Li

  • CascadeFix: Multi-Location Program Repair via Cascading Planning and Generation
    Huan Zhang, Li Kuang, Yang Yang, Yilei Fang, Yingjie Xia

  • DGPO: Beyond Pairwise Preferences with Directional Consistent Groupwise Optimization
    Mengyi Deng, Zhiwei Li, Xin Li, Tingyu Zhu, Yulan Yuan, Zhijiang Guo, Wei Wang

  • Emergence and Localisation of Semantic Role Circuits in LLMs
    Nura Aljaafari, Danilo Carvalho, Andre Freitas

  • Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs
    Yubo Gao, Haotian Wu, Hong Chen, Junquan Huang, Yibo Yan, Jungang Li, Zihao Dongfang, Sicheng Tao, Puay Siew Tan, Jie Zhang, Xuming Hu

  • Characterizing the Robustness of Black-Box LLM Planners Under Perturbed Observations with Adaptive Stress Testing
    Neeloy Chakraborty, John Pohovey, Melkior Ornik, Katherine Driggs-Campbell

  • ProMCP: Profiling Token Flows and Latency Costs in Model Context Protocol–Based LLM Agents
    Sumera Anjum, Weijian Zheng, Rajkumar Kettimuthu, Heng Fan, Yunhe Feng

  • Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning
    Sindhuja Chaduvula, Ahmed Y. Radwan, Azib Farooq, Yani Ioannou, Shaina Raza

  • POLARIS: A Gödel Agent Framework for Small Language Models through Experience-Abstracted Policy Repair
    Aditya Namdev Kakade, Vivek Srivastava, Shirish Karande

  • PhaseMI: A Motivational Interviewing Dataset for Enhancing Phase Progression in LLM-based Counseling
    Jina Kim, Myeongho Jeon, Soohyun Cho, Chae-Gyun Lim, Jongmin Lim, Haewon Min, Eunho Yang

  • PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics
    Yaling Shen, Stephanie Fong, Yiwen Jiang, Zimu Wan, Feilong Tang, Qingyang Xu, Xiangyu Zhao, Zhongxing Xu, Jiahe Liu, Jinpeng Hu, Dominic Dwyer, Zongyuan Ge

  • DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections
    Haebin Shin, Lei Ji, Xiao Liu, Zhiwei Yu, Hyunwoo Yoo, Qi Chen, Yeyun Gong

  • BMAM: Brain-inspired Multi-Agent Memory Framework
    Yang Li, Jiaxiang Liu, Yusong Wang, Yujie Wu, Mingkun Xu

  • Verified Critical Step Optimization for LLM Agents
    Mukai Li, Qingcheng Zeng, Tianqing Fang, Zhenwen Liang, Linfeng Song, Qi Liu, Haitao Mi, Dong Yu

  • Nash-Pruned CredMAS: Dynamic Panel Pruning for VLM-MAS using Nash-based Selection and Doubly-Robust Credits
    Yijia Fan, Mingyu Liu, Jing Yang, Jian Wang, Keze Wang, Jusheng Zhang

  • SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?
    Yuxuan Sun, Yuze Zhao, Yufeng Wang, Yao Du, Zhiyuan Ma, Jinbo Wang, Mengdi Zhang, Kai Zhang, Zhenya Huang

  • STaD: Scaffolded Task Design for Identifying Compositional Skill Gaps in LLMs
    Sungeun An, Swanand Ravindra Kadhe, Shailja Thakur, Chad DeLuca, Hima Patel

  • PseudoSeer: a Search Engine for Pseudocode
    Levent Toksoz, Mukund Srinath, Gang Tan, C. Lee Giles

  • Beyond Polarity: Continuous Affect-Enhanced Multimodal Aspect-Based Sentiment Classification
    Ling-Ang Meng, Tianyu Zhao, Dawei Song, Jingxu Cao, Youhui Zuo

  • Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
    Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yan Liu, Yue Zhao, Xiyang Hu

  • Beyond ‘Aha!’: Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
    Zhiyuan Hu, Yibo Wang, Hanze Dong, Yuhui Xu, Amrita Saha, Caiming Xiong, Bryan Hooi, Junnan Li

  • Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
    Zhiyuan Hu, Yucheng Wang, Yufei He, Jiaying Wu, Yilun Zhao, See-Kiong Ng, Cynthia Breazeal, Anh Tuan Luu, Hae Won Park, Bryan Hooi

  • Empathy Applicability Modeling for General Health Queries
    Shan Randhawa, Agha Ali Raza, Kentaro Toyama, Julie Hui, Mustafa Naseem

  • Worldwide LiveVQA: Real-Time Visual Knowledge Seeking and Updating Across Languages
    Xuanao Huang, Xingjia Liu, Zetong Zhou, Yuyang Peng, Yao Wan, Dongping Chen

  • HCRE: LLM-based Hierarchical Classification for Cross-Document Relation Extraction with a Prediction-then-Verification Strategy
    Guoqi Ma, Liang Zhang, Hongyao Tu, Hao Fu, Hui Li, Yujie Lin, Longyue Wang, Weihua Luo, Jinsong Su

  • VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization
    Menglan Chen, Xianghe Pang, Jingling Dong, Wenhao Wang, Yaxin Du, Siheng Chen

  • TinyAttack: Exploring Stylistic Vulnerabilities in Large Language Models
    Mamta Mamta, Bogdan Grecu, Oana Cocarascu

  • Human-Agent Collaborative Paper-to-Page Crafting
    Qianli Ma, SiyuWang, Yilin Chen, Yinhao Tang, Yixiang Yang, Chang Guo, Bingjie Gao, Zhening Xing, Yanan Sun, Zhipeng Zhang

  • Skill Weaving: Efficient LLM Improvement via Modular Skillpacks
    Zhuo Li, Guodong DU, Zesheng Shi, Weiyang Guo, Weijun Yao, Yuan Zhou, Jiabo Zhang, Jing Li

  • Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences
    Guillem Ramirez, Alexandra Birch, Ivan Titov

  • GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark
    Lotta Kiefer, Christoph Leiter, Sotaro Takeshita, Elena Schmidt, Steffen Eger

  • LipoAgent: Coordinating Fine-Tuned LLM Agents for Safer Lipid Design
    Leshu Li, An Lu, Haiyu Wang, Zhibin Feng, Conghui Duan, Qing Bao, Zongmin Zhao, Sai Qian Zhang

  • PsychePass: Calibrating LLM Therapeutic Competence via Trajectory-Anchored Tournaments
    Zhuang Chen, Dazhen Wan, Zhangkai Zheng, Guanqun Bi, Xiyao Xiao, Binghang Li, Minlie Huang

  • Generalization or Memorization? Multi-Agent vs. Baseline LLMs and AutoML Models for Tabular Classification
    Aida Sanatizadeh, Sorouralsadat Fatemi, Reza Mousavi, Ahmed Abbasi

  • GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPO
    Shubhashis Roy Dipta, Khairul Mahbub, Nadia Najjar

  • Can MLLMs Reason Beyond Language? VisReason: A Comprehensive Benchmark for Vision-Centric Reasoning
    Longteng Guo, Yifan Wang, Pengkang Huo, Tailai Chen, Yuze Wu, Jing Liu, Xinxin Zhu

  • Multimodal Dual-Path Decoding for Medical Report Generation
    Jinghan Sun, Dong Wei, Zhihong Zhu, Yuyang Xue, Steven McDonagh, Xian Wu

  • PanoramaRAG: Enabling Consistent Global Topic Awareness in Graph-Based RAG
    Ding Deng, Xiang Li, Yaqing Zhang, Meng Li, Xiting Wang

  • Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
    Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding

  • Speculative Decoding with a Speculative Vocabulary
    Miles Williams, Young D. Kwon, Rui Li, Alexandros Kouris, Stylianos I. Venieris

  • Entropy-Aware Reshaping of Reinforcement Signals for Multi-Answer Reasoning
    Zhi Li, Huidan Xu, Zhen Hu, Yali Du, Ying Liu

  • TripTide: A Benchmark for Adaptive Travel Planning under Disruptions
    Priyanshu Karmakar, Soumyabrata Chaudhuri, Shubhojit Mallick, Manish Gupta, Abhik Jana, Shreya Ghosh

  • Rational Synthesizers or Heuristic Followers? Analyzing LLMs in RAG-based Question-Answering
    Atharv Naphade

  • IDEA: An Interpretable and Editable Decision-Making Framework for LLMs via Verbal-to-Numeric Calibration
    Yanji He, Yuxin Jiang, Yiwen Wu, Bo Huang, Jiaheng Wei, Wei Wang

  • An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA
    Saransh Sharma, Pritika Ramu, Aparna Garimella, Koyel Mukherjee

  • Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation
    Zeping Li, Guancheng Wan, Keyang Chen, Yu Chen, Yiwen Zhao, Philip Torr, Guangnan Ye, Zhenfei Yin, Hongfeng Chai

  • NITI: Neural Plan Concretization for Incremental Execution, Bridging and Trigger Inference from Underspecified Human Policies
    Ayan Banerjee, Shomrik Barua Banerjee, Sandeep K.S. Gupta

  • Automatic Combination of Sample Selection Strategies for Few-Shot Learning
    Branislav Pecher, Ivan Srba, Maria Bielikova, Joaquin Vanschoren

  • LearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient Alignment
    Shipeng Li, Zhiqin Yang, Shikun Li, Xiaobo Xia, Hengyu Liu, Xinghua Zhang, Gaode Chen, Dong Fang, Ying Tai, Zhe Peng

  • Auditing LLM Responses to Harmful Stereotypes Targeting Mental Health Groups
    Arka Dutta, Rijul Magu, Sean Kim, Seohee Yoon, Munmun De Choudhury, Ashiqur R. KhudaBukhsh

  • ROSCO-Omni: Multimodal LLM-Based Communication Understanding for Non- and Minimally-Speaking Autistic Individuals
    Siddhant Shah, Kristina Johnson

  • LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation
    Samar M. Magdy, Fakhraddin Alwajih, Abdellah EL MEKKI, Wesam El-Sayed, Muhammad Abdul-Mageed

  • Many-Shot Scaling of In-Context Learning with Self-Generated Demonstrations
    Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu

  • Small Data, Big Noise: Adversarial Training for Robust ParameterEfficient Fine-Tuning
    Eitan Cohen, Idan Simai, Uri Shaham

  • LLMs as Lab Engineers: A Benchmark for Analytical Method Lifecycle Management
    Xiaoyi Chen, Mahsa Monshizadeh, Chaoqi Zhang, Jianjun Lang, Yang Wu, Genevieve Mortensen, Xiaozhong Liu, Haixu Tang

  • Too Fast, Too Shallow – LLMs, Including Reasoning LLMs, Are Unreliable Constitutional Reasoners
    Reto Gubelmann, Peter Hongler

  • JTPRO: A Joint Tool–Prompt Reflective Optimization Framework for Language Agents
    Sandip Ghoshal, Anshul Mittal, Jyotika Singh, Miguel Ballesteros, Weiyi Sun, Fang Tu, Shailender Singh, Yassine Benajiba, Fahad Shah, Sujeeth Bharadwaj, Sujith Ravi, Dan Roth

  • CANDICE: Agentic Causal Disentanglement with Class Conditional Knowledge Integration for Long Tailed Domain Generalization
    Midhat Urooj, Ayan Banerjee, Sandeep Gupta

  • AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection
    Pretam Ray, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum

  • OmniCode: A Benchmark for Evaluating Software Development Agents
    Atharv Sonwane, Eng-Shen Tu, Wei-Chung Lu, Claas Beger, Carter Larsen, Debjit Dhar, Simon Alford, Rachel Chen, Ronit Pattanayak, Tuan Anh Dang, Guohao Chen, Gloria Geng, Kevin Ellis, Saikat Dutta

  • Supplement Generation Training for Enhancing Agentic Task Performance
    Young Min Cho, Daniele Bonadiman, Divya Bhargavi, Tamer Alkhouli, Salvatore Romeo, Dongwei Jiang, Khushbu Pahwa, Yubin Ge, Etsuko Ishii, Monica Sunkara, Yi Zhang

  • Automatic Paper Analysis and Categorisation for Systematic Reviews with Combined Reasoning-Augmented SFT and DAPO RL
    Michela Lorandi, Anya Belz, Simon Mille, Craig Thomson

  • MotifAgent: Learning Molecular Assembly through Multi-Agent Collaboration for Chemical Language Understanding
    Jinjia Feng, Wenda Wang, Zhewei Wei

  • Policy-Guided Stepwise Action Planning for Controllable LLM Reasoning
    Jianpeng Zhou, Qisheng Hu, Jiahai Wang, Wenya Wang

  • Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs
    Samuel G. Balter, Ethan Jerzak, Connor T. Jerzak

  • Modeling Human Perspectives with Socio-Demographic Representations
    Leixin Zhang, Cagri Coltekin

  • Weight Tying Biases Token Embeddings Towards the Output Space
    Antonio Lopardo, Avyukth Harish, Catherine Arnett, Akshat Gupta

  • Structured Uncertainty guided Clarification for LLM Agents
    Manan Suri, Puneet Mathur, Nedim Lipka, Franck Dernoncourt, Ryan A. Rossi, Dinesh Manocha

  • LRBench and Judge-R1: Principled Evaluation and Training of LLM-Based Judges for Long-Context Reasoning
    Xinyi Zhao, Haoqi Hu, Ziyu Wang, Jinfeng Xiao

  • Beyond Reproduction: A Paired-Task Framework for Assessing LLM Comprehension and Creativity in Literary Translation
    Ran Zhang, Steffen Eger, Arda Tezcan, Wei Zhao, Simone Paolo Ponzetto, Lieve Macken

  • Mechanistic Interpretability of Large-Scale Counting in LLMs through a System-2 Strategy
    Hosein Hasani, Mohammadali Banayeeanzade, Ali Nafisi, Sadegh Mohammadian, Fatemeh Askari, Mobin Bagherian, Amirmohammad Izadi, Mahdieh Soleymani Baghshah

  • CodeScout: Contextual Problem Statement Enhancement for Software Agents
    Manan Suri, Xiangci Li, Mehdi Shojaie, Songyang Han, Chao-Chun Hsu, Shweta Garg, Aniket Anand Deshmukh, Varun Kumar

  • Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation
    Jiazhou Liang, Yifan Simon Liu, David Guo, Yilun Jiang, Minqi Sun, Scott Sanner

  • StanceAttack: Adversarial Attack for Stance Detection
    Chenye Zhao, Cornelia Caragea

  • MEAV: Model Editing with Alignment Vectors for inference time LLM alignment in single and multidomain preference spectrum
    Sadat Shahriar, Zheng Qi, Nikolaos Pappas, Srikanth Doss, Kishaloy Halder, Monica Sunkara, Manuel Mager, Yassine Benajiba

  • BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs
    Mainak Singha, Tanisha Gupta, Ankit Jha, Muhammad Haris Khan, Sayantani Ghosh, Biplab Banerjee

  • SCALE: Upscaled Continual Learning of Large Language Models
    Jin-woo Lee, Junhwa Choi, Bongkyu Hwang, Jinho Choo, Bogun Kim, Jeongseon Yi, Joonseok Lee, DongYoung Jung, Jaeseon Park, Kyoungwon Park, Suk-hoon Jung

  • Words that make SENSE: Sensorimotor Norms in Learned Lexical Token Representations
    Abhinav Gupta, Toben Mintz, Jesse Thomason

  • Interpreting Style Representations via Style-Eliciting Prompts
    Junghwan Kim, David Jurgens

  • Optimizing Conversational Quality in Spoken Dialogue Systems with Reinforcement Learning from AI Feedback
    Siddhant Arora, Jinchuan Tian, Jiatong Shi, Hayato Futami, Yosuke Kashiwagi, Emiru Tsunoo, Shinji Watanabe

  • Conceptual Hierarchies within LLMs
    Tiago Almeida, Zining Zhu, Yue Ning

  • Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation
    Shihai Wang, Tao Chen

  • Measuring Large Language Models’ Adversarial Behavior in Social Deduction Games
    Marissa Li, Esha Shivakumar, Peiran Wang, Ying Li, Yuan Tian

  • ChangJuan: A Comprehensive Benchmark for Book-Length Chinese Story Evaluation
    Dingyi Yang, Mingshuo Wang, Qin Jin

  • Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum Learning
    Zhu Min, Yanchao Hao, Jian Liu, Shizhu He, Xi Chen

  • Confidence-Weighted Token Set Cover for Early Hypothesis Pruning in Self-Consistency
    Md Arafat Sultan, Ramón Fernandez Astudillo

  • MMTabReal: Real-World Benchmark for Multimodal Table Understanding
    Prasham Titiya, Jainil Trivedi, Chitta Baral, Vivek Gupta

  • Inject to Heal: Alleviating hallucination in LVLMs via Context Embedding Injection
    Mehrdad Fazli, Bowen Wei, Ziwei Zhu

  • Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models
    Angelo Zangari, Peyman Baghershahi, Sourav Medya

  • SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition
    Ruichu Cai, Juntao Gan, Miao Mai, Zhifeng Hao, Boyan Xu

  • DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal
    Peixuan Han, YingJie Yu, Jingjun Xu, Jiaxuan You

  • BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy Optimization
    Saket Reddy, Ke Yang, ChengXiang Zhai

  • MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification
    Bo Zheng, Yudong Chen, Zihua Xiong, Shuai Fang, Peidong He, Yang Yang, Sheng Guo

  • Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection Prompting
    Xingyou Yin, Ceyao Zhang, Min Hu, Kai Chen

  • Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification
    Fengxiang Cheng, Chuan Zhou, Xiang Li, Haoxuan Li, Wen-li Wang, Jinkun Chen, Mingming Gong, Kun Zhang

  • CliniCAST: Benchmarking Acoustic Grounding and Text Dominance in Medical Triage
    Kyusik Kim, Hyunwoo Yoo, Jaehoon Choi, Kitae Kim, Gail Rosen, Bongwon Suh

  • Whose Voice, Whose Avatar? Gender Matching Bias in Multimodal AI Teammates
    Kyusik Kim, Jaehoon Choi, Hyunwoo Yoo, Bongwon Suh

  • WebAnchor: Anchoring Agent Planning to Stabilize Long-Horizon Web Reasoning
    Xinmiao Yu, Liwen Zhang, Xiaocheng Feng, Pengjun Xie, Jingren Zhou, Bing Qin, Yong Jiang

  • Context-Driven and Reference-Guided Data Augmentation for Subtitle Translation
    Hitoshi Ito, Naoto Shirai, Kazutaka Kinugawa, Hideya Mino, Rei Endo, Yoshihiko Kawai

  • Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Human-LLM Dialogue
    Jonathan Ivey, Shivani Kumar, Jiayu Liu, Hua Shen, Sushrita Rakshit, Rohan Raju, Haotian Zhang, Aparna Ananthasubramaniam, Junghwan Kim, Bowen Yi, Dustin Wright, Abraham Israeli, Anders Giovanni Møller, Lechen Zhang, David Jurgens

  • Can Small LLMs Learn a Robust Theory of Mind via RLVR? Investigating Generalization through the False-Belief Task
    Sneheel Sarangi, Hanan Salam

  • Rolling Out Data Quality Overnight, without losing the plot: A Multi-Agent System for Speech Data Quality Management
    Rishabh Kumar, Abhinav Painuli, Chriss Philip Saji, Devesh Soni, Amrith Krishna, Ganesh Ramakrishnan

  • Schema-Guided Response Generation using Multi-Frame Dialogue State for Motivational Interviewing Systems
    Jie Zeng, Yukiko Nakano

  • From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
    Jiaxin Zhang, Wendi Cui, Zhuohang Li, Lifu Huang, Bradley A. Malin, Caiming Xiong, Chien-Sheng Wu

  • Value–Action Alignment in Large Language Models under Privacy–Prosocial Conflict
    Guanyu Chen, Chenxiao Yu, Xiyang Hu

  • See or Say Graphs: Agent-Driven Scalable Graph Understanding with Vision-Language Models
    Shuo Han, Yukun Cao, Zezhong Ding, Zengyi Gao, S Kevin Zhou, Xike Xie

  • Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets
    Hanna Yukhymenko, Anton Alexandrov, Martin Vechev

  • MorphBPE: Morphology-Aware Tokenization for Efficient LLM Training
    Ehsaneddin Asgari, Yassine El Kheir, Mohammad Ali Sadraei Javaheri, Ali Nazari

  • From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms
    Jinghao Luo, Yuchen Tian, Chuxue Cao, Ziyang Luo, Hongzhan Lin, Kaixin Li, Chuyi Kong, Ruichao Yang, Jing Ma

  • LLMs are Brittle to Simple Code Transformations: Introducing CETBench – A Benchmark for Code-Equivalence Checking
    Neeva Oza, Ishaan Govil, Parul Gupta, Dinesh Khandelwal, Dinesh Garg, Parag Singla

  • Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding
    Riza Setiawan Soetedjo, Yusuke Sakai, Hidetaka Kamigaito, Jingun Kwon, Manabu Okumura, Taro Watanabe

  • Moneyball with LLMs: Analyzing Tabular Summarization in Sports Narratives
    Ritam Upadhyay, Naman Ahuja, Rishabh Baral, Aparna Garimella, Vivek Gupta

  • A Computational Method for Measuring Open Codes in Qualitative Analysis
    John Chen, Alexandros Nikolaos Lotsos, Sihan Cheng, Lexie Zhao, Yanjia Zhang, Jessica Hullman, Bruce Sherin, Uri Wilensky, Michael Horn

  • Vulnerability of LLMs’ Stated Belief? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions
    Fan Huang, Haewoon Kwak, Jisun An

  • Choose Your Lens: Multi-Perspective Value Alignment of Chain-of-Thought Reasoning
    GejianZhao, Hanzhou Wu, Xinpeng Zhang

  • Beyond Evidence: Belief-Chain Conditioning for Persuasive Misinformation Debunking Explanation
    Yi-Li Hsu, Li-Wun Chang, Chun-Yu Hsu, Wei-Kuan Shih, Aiping Xiong, Lun-Wei Ku

  • CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs
    Siyi Li, Jiajun Shi, Shiwen Ni, Ge Zhang, Shuaimin Li, Shijian Wang, Zhoufutu Wen, Yizhi LI, Hamid Alinejad-Rokny, Jiaheng Liu, Min Yang, Wenhao Huang

  • The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They Hide
    Pratham Singla, Shivank Garg, Ayush Singh, Ishan Garg, Ketan Suhaas Saichandran

  • Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models
    Zhining Liu, Tianyi Wang, Xiao Lin, Penghao Ouyang, Gaotang Li, Ze Yang, Hui Liu, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong

  • ENPMR-Bench: Benchmarking Proactive Memory Retrieval for Emotional Support Agents
    Xing Fu, Yulin Hu, Mengtong Ji, Haozhen Li, Yixin Sun, Weixiang Zhao, Yanyan Zhao, Bing Qin

  • Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision–Language Models
    Aryan Roy, Zekun Wang, Christopher J. MacLellan

  • PROPER Agents: Proactivity Driven Personalized Agents for Advancing Knowledge Gap Navigation
    Kirandeep Kaur, Vinayak Gupta, Aditya Gupta, Chirag Shah

  • PO-KGQA: Preference Optimization for Low-Resource Complex Knowledge Graph Question Answering
    Prerna Agarwal, Ayushman Kumar Singh, Srikanta Bedathur

  • Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality
    Qipeng Xie, Zi Liang, Jiafei Wu, Yufei Chen, Weizheng Wang, Wenao Ma, Zhong Ming, Haiqin Yang, Kaishun Wu

  • DUSK: Do Not Unlearn Shared Knowledge
    Wonje Jeung, Sangyeon Yoon, Hyesoo Hong, Soeun Kim, Seungju Han, Youngjae Yu, Albert No

  • Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings
    Aakriti Agrawal, Gouthaman KV, Rohith Aralikatti, Gauri Jagatap, Jiaxin Yuan, Sarvesh Baskar, Vijay Kamarshi, Andrea Fanelli, Furong Huang

  • Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion Evaluation
    Pardis Sadat Zahraei, Xiaoning Wang, Nimet Beyza Bozdag, Gokhan Tur, Dilek Hakkani-Tür

  • Direct Token Optimization: A Self-Contained Approach to Large Language Model Unlearning
    Hong kyu Lee, Ruixuan Liu, Li Xiong

  • EntroBench: Evaluating LLM Watermarking Under Multi-Entropy Scenarios and Practical User Operations
    Pengyuan Qin, Linnan Tu, Yuhan Ke, Hefei Ling

  • Beyond Single-Shot: Multi-step Tool Retrieval via Query Planning
    Wei Fang, James Glass

  • On Safety Risks in Experience-Driven Self-Evolving Agents
    Weixiang Zhao, Yichen Zhang, Yingshuo Wang, Yang Deng, Yanyan Zhao, Xuda Zhi, Yongbo Huang, Hao He, Wanxiang Che, Bing Qin, Ting Liu

  • LLM Program Optimization via Retrieval Augmented Search
    Sagnik Anupam, Alexander Shypula, Osbert Bastani

  • EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles
    Aakriti Agrawal, Mucong Ding, Chenghao Deng, Zora Che, Arjun Rajaram, Anirudh Satheesh, Bang An, C. Bayan Bruss, John Langford, Furong Huang

  • Stable On-Policy Distillation through Adaptive Target Reformulation
    Ijun Jang, Jewon Yeom, Juan Yeo, Hyunggu Lim, Taesup Kim

  • A Syntactic and Semantic Probe into Language Evolution based on Large Language Models
    Hao Pang, Changcheng Li, Yingxue Liu

  • Assessing the Effect of Context in Multi-domain Acceptability Judgment
    Eunike Andriani Kardinata, Yusuke Sakai, Taro Watanabe

  • Lost in Decomposition: Analyzing and Mitigating the Limitations of Long Context Methods via Context Dependency
    Jiayuan Guo, Yueyang Su, Yuyao Ge, Saiping Guan, Lei Yu, Jiafeng Guo, Xueqi Cheng

  • Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
    Zichuan Fu, Xian Wu, Guojing Li, Yejing Wang, Yijun Chen, Zhao Zihao, Luo Yixuan, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao

  • PROBE: PROcess-Based BEnchmark for Hallucination Detection
    Yu Zhang, Peter Belcak, Shizhe Diao, Yonggan Fu, Shaona Ghosh, Morteza Mardani, Eileen Margaret Peters Long, Bei Yu, Pavlo Molchanov

  • Prompt Optimization for Relation Extraction using Reinforcement Learning
    Ying Liu, Dong Shuai, Cui Zibo, TengQi Ye, Gang Wu

  • PolyAudio: Advancing Multi-Audio Reasoning in Large Audio Language Models with Interleaved Multi-Audio Contexts
    Sonal Kumar, Sreyan Ghosh, Yueqian Lin, S Sakshi, Ashish Seth, Yiran Chen, Ramani Duraiswami, Dinesh Manocha

  • Scaling Evaluation-Time Compute with Reasoning Models as Evaluators
    Seungone Kim, Ian Wu, Jinu Lee, Xiang Yue, Seongyun Lee, Minkyeong Moon, Carolin Lawrence, Kiril Gashteovski, Julia Hockenmaier, Graham Neubig, Sean Welleck

  • Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling
    Ivan Rodkin, Daniil Orel, Konstantin Smirnov, Arman Bolatov, Bilal Elbouardi, Besher Hassan, Yuri Kuratov, Aydar Bulatov, Preslav Nakov, Timothy Baldwin, Artem Shelmanov, Mikhail Burtsev

  • Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
    Tiancheng Hu, Benjamin Minixhofer, Nigel Collier

  • From Representation to Choice: Tracing Decision Emergence Across Languages in LLMs
    Divyanshu Bhatt, Abhinav Joshi, Ujjaval patel, Ashutosh Modi

  • Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM
    Sravanth Kodavanti, Sowmya Vajrala, Srinivas Soumitri Miriyala, Utsav Tiwari, Uttam Kumar, Utkarsh Kumar Mahawar, Achal Pratap Singh, Arya D, Narendra Mutyala, Vikram Nelvoy Rajendiran, Sharan Kumar Allur, Euntaik Lee, Dohyoung Kim, HyeonSu Lee, Gyusung Cho, JungBae Kim

  • SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis
    Zijian Wu, Jinjie Ni, Xiangyan Liu, Zichen Liu, Hang Yan, Michael Qizhe Shieh

  • From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations
    Pulkit Bansal, Raghvendra Kumar, Shakti Singh, Adam Jatowt, Sriparna Saha

  • Joint Optimization of Training Data and Policy in RLHF
    Zhuohao Yu, Jiali Zeng, Weizheng Gu, Mengyuan Sun, Yidong Wang, Fandong Meng, Jie Zhou, Shikun Zhang, Wei Ye

  • Simul-COMET: A Quality Metric for Simultaneous Interpretation in Distant Language Pair Considering Word Order Difference
    Kosuke Doi, Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe

  • Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration
    Bo Ni, Qinwen Ge, Haowei Fu, Ryan A. Rossi, Xiaorui Liu, Jiejun Xu, Tyler Derr

  • ContractEval: A Benchmark for Evaluating Contract-Satisfying Assertions in Code Generation
    Soohan Lim, Joonghyuk Hahn, Hyunwoo Park, Sang-Ki Ko, Yo-Sub Han

  • ToM-Synth: Scaling Robust Theory of Mind in LLMs via 6,912 Structured Social Units
    Guiyang Hou, Xiang Huang, Shangke Lyu, Yuchuan Wu, Weiyao Luo, Xinyu Mei, Yongliang Shen, Weiming Lu, Yongbin Li

  • Budget-Aware Routing for Long Clinical Text
    Khizar Qureshi, Geoffrey Martin, Yifan Peng

  • Multi-LLM Collaborative Search for Complex Problem Solving
    Sen Yang, Yafu Li, Wai Lam, Yu Cheng

  • SceneLM: 3D-Aware Language Models for Editable 3D Scene Synthesis
    Xingbo Yao, Xiaoyu Chen, Doudou ZHANG, Mingzhi Sheng, Boyuan Cao, Yingcong Chen, Hui Xiong

  • Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion
    Tarun Kathuria, Sachin Kumar

  • Uncovering Currency Bias and Syntax Gap in Text Embedding Models
    Saurav Sudevan, Harsh Pal, Yatin Katyal, Sahil Manchanda

  • C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts
    Chenxi Qing, Junxi Wu, Zheng Liu, Yixiang Qiu, Hongyao Yu, Bin Chen, Hao Wu, Shu-Tao Xia

  • Seer Self-Consistency: Advance Budget Estimation for Adaptive Test-Time Scaling
    Shiyu Ji, Yixuan Wang, Yijun Liu, Qingfu Zhu, Wanxiang Che

  • Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding
    Weixu Zhang, Fanghua Ye, Qiang Gao, Jian Li, Haolun Wu, Yuxing Tian, Sijing Duan, Nan Du, Xiaolong Li

  • CaRVE: Critiquing and Refining Visual Elaborations for Figurative Language Illustrations
    Manishit Kundu, Tejomay Kishor Padole, Sumit Shekhar, Biplab Banerjee, Pushpak Bhattacharyya

  • Defending LLMs against Jailbreak Attacks via Template-Based ICL with a Defensive Suffix
    Ruiyang Ni, Changlong Li, Shuaibiao Han, Zhiyu Yi, Perley Xu, Wenjie Ruan

  • From Fallback to Frontline: When Can LLMs be Superior Annotators of Human Perspectives?
    Hasan Amin, Harry Yizhou Tian, Xiaoni Duan, Chien-Ju Ho, Rajiv Khanna, Ming Yin

  • Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations
    Nanxu Gong, Zixin CHEN, Haotian Li, Zishu Zhao, Jianxun Lian, Huamin Qu, Yanjie Fu, Xing Xie

  • SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification
    Zhifeng Hao, Zhongjie Chen, Junhao Lu, Shengyin Yu, Guimin Hu, Keli Zhang, Ruichu Cai, Boyan Xu

  • Emotion Trajectory-aware Retrieval for Markov-driven Emotion Anticipation in LLM-based Emotional Support Conversation
    Hongyan Wu, Zhiliang Tian, Zhen Huang, Tengyue Hu, Linbo Qiao, Yifu Gao, Feng Liu, Dongsheng Li

  • High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel Computing
    Liangyu Wang, Huanyi Xie, Di Wang

  • AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
    Jiabin Tang, Tianyu Fan, Chao Huang

  • DR-HM: Distill-then-Reinforce Training with Cognition-Aware Data Synthesis for Harmful Meme Detection
    Zihan Cheng, Jianxiang Ma, Xiaocui Yang, Peidong Wang, Wen Zhang, Shi Feng, Daling Wang, Yifei Zhang, Mingfu Zhang

  • Long Story Short: Disentangling Compositionality and Long-Caption Understanding in Contrastive VLMs
    Israfel Salazar, Desmond Elliott, Yova Kementchedjhieva

  • Model in Distress: Sentiment Analysis on French Synthetic Social Media
    Pierre-Carl Langlais, Pavel Chizhov, Yannick Detrois, Carlos Rosas Hinostroza, Ivan P. Yamshchikov, Bastien Perroy

  • Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity
    Pranava Madhyastha, Dagmar Adamcová

  • Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation
    Yang Wu, Haoze Wang, QianLi, Jun Zhang, Huan Yu, Jie Jiang

  • Do Language Models Use Logophoric Cues? Evidence from Mandarin Chinese Long-Distance Reflexive
    Yunfang Dong

  • FineState-Bench: Benchmarking State-Conditioned Grounding for Fine-grained GUI State Setting
    Fengxian Ji, Jingpu Yang, Zirui Song, Yuanxi Wang, Zhexuan Cui, Yuke Li, Qian Jiang, Xiuying Chen

  • Dictionary Guided Sparse Logit Editing for Reliable Jailbreak Attacks
    Shuaibiao Han, Ruiyang Ni, Zhiyu Yi, Changlong Li, Perley Xu, Wenjie Ruan

  • Chain-of-Relations: Faithful and Efficient LLM Reasoning over Knowledge Graphs via Relation-Centric Exploration
    Chenhui Liu, Jianpeng Zhou, Jiahai Wang

  • MedQPA-Gen: Medical Question Proposing and Answering for Report Generation
    Weijie Liang, Xiyue Zhu, Ruike Zhu, Chenhao Li, Cheng Tang, Zhiyu Liu, Zhihua Gong, Shirui Luo, Yudu Li, Volodymyr Kindratenko

  • Faster MoE LLM Inference for Extremely Large Models
    Haoqi Yang, Luohe Shi, Qiwei Li, Zuchao Li, Ping Wang, Hao Huang, Hai Zhao

  • Localized Cultural Knowledge is Conserved and Controllable in Large Language Models
    Veniamin Veselovsky, Berke Argın, Benedikt Stroebl, Chris Wendler, Robert West, James Evans, Thomas L. Griffiths, Arvind Narayanan

  • The Confidence Paradox: Unveiling the Latent Discriminative Power of Diffusion Large Language Models in Mathematical Reasoning
    Yansi Li, Gongshen Liu, Zhuosheng Zhang

  • Efficient Hallucination Detection in Automatic Code Generation
    Georgii Andriushchenko, Roman Garaev, Lyudmila Rvanova, Artem Shelmanov, Vladimir V. Ivanov

  • DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode
    Hojae Han, Jaejin Kim, seung-won hwang, Yu Jin Kim, Moontae Lee

  • Attention Sinks in Diffusion Language Models
    Maximo Rulli, Simone Petruzzi, Edoardo Michielon, Fabrizio Silvestri, Simone Scardapane, Alessio Devoto

  • R³-SQL: Ranking Reward and Resampling for Text-to-SQL
    Hojae Han, Yeonseok Jeong, Seung-won Hwang, Zhewei Yao, Yuxiong He

  • Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
    Jonas Waldendorf, Bashar Awwad Shiekh Hasan, Evgenii Tsymbalov

  • Leveraging External Knowledge for Historical Document Restoration via Retrieval-Augmented Large Language Models
    Gabeen Kim, Kyeongpil Kang

  • From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning
    Beining Wu, Fuyou Mao, Jiong Lin, Cheng Yang, Jiaxuan Lu, Yifu Guo, Siyu Zhang, Yifan Wu, Ying Huang, Fu Li

  • CodeRM-NT: Reward Model for Code RL without Unit Tests
    Xiao Xia, Dan Zhang, Tianrui Sun

  • Fin-STAR: Structure-as-Semantics to Resolve Implicitness in Financial Retrieval
    Yu Zou, Yan Chen, Lida He, Qi Zhou, Xiaorui Zhou, Aixi Zhong, Yi Wang, Wei Li, Qingyu Wang, Jiatao Li, Wei Gong, Jialei Zeng, Jingmei Zhao, Ke Jiang, Qing Li

  • When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval
    Mingxu Tao, Jiawei Hu, Xian Zhou, Wenpeng Hu, Jiajun Cheng, Yunbo Cao, Zhunchen Luo, Guotong Geng

  • SpecExtend: A Drop-in Enhancement for Speculative Decoding of Long Sequences
    Jungyoub Cha, Hyunjong Kim, Sungzoon Cho

  • Task-Related In-Context Learning
    Wenqiang Wang, Peng Chen, Yan Xiao, Yangshijie Zhang, Xiaoyue Lu, Jianjie huang, Xiaochun Cao

  • Concise Math Reasoning via Difficulty-Aware Distillation
    Yifan Wu, Jingze Shi, Bingheng Wu, Jiayi Zhang, Xiaotian Lin, Yizhang Zhu, Zhaoyang Yu, Bang Liu, Chenglin Wu, Nan Tang, Yuyu Luo

  • Corpora Generation for Urdu Grammatical Error Correction
    Syed Ahad, Burhanuddin Ezzi

  • Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem
    Lichang Song, Ting Long, Yi Chang

  • More Agents Improve Math Problem Solving but Adversarial Robustness Gap Persists
    Khashayar Alavi, Zhastay Yeltay, Lucie Flek, Akbar Karimi

  • Indic-CodecFake meets SATYAM: Towards Detecting Neural Audio Codec Synthesized Speech Deepfakes in Indic Languages
    Girish, Mohd Mujtaba Akhtar, Orchid Chetia Phukan, Arun Balaji Buduru

  • Tracing Relational Knowledge Recall in Large Language Models
    Nicholas Popovič, Michael Färber

  • LR-DWM: Efficient Watermarking for Diffusion Language Models
    Ofek Raban, Ethan Fetaya, Gal Chechik

  • Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition
    Jinlong Ma, Yu Zhang, Xuefeng Bai, Kehai Chen, Yuwei Wang, Zeming Liu, Jun Yu, Min Zhang

  • BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented Generation
    Fuda Ye, Jiachuan Wang, Yongqi Zhang, Lei Chen, Shuangyin Li

  • RIDER-MoE: Reliability-Aware Expert Routing for Robust Multimodal Sentiment Analysis
    Qian Chen, Mengqiang Hu, Xin GUO

  • Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems
    Yuxin Zhang, Yan Wang, Yongrui Chen, Shenyu Zhang, Xinbang Dai, Sheng Bi, Guilin Qi