Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements
机构 * Qiyuan Tech（奇源科技） ； Zhinao（360智脑） ； Peking University（北京大学）
Comments EMNLP 2025 Main Conference
期刊&会议
EMNLP
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Evaluating Step-by-step Reasoning Traces: A Survey
机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）
Comments EMNLP 2025 Findings
Beyond Pairwise: Global Zero-shot Temporal Graph Generation
机构 * Computer Science Department, Bar-Ilan University（巴伊兰大学计算机科学系） ； Efi Arazi School of Computer Science, Reichman University（里奇曼大学埃菲·阿拉兹计算机科学学院）
Comments Accepted to the main track of EMNLP 2025
No Need for Explanations: LLMs can implicitly learn from mistakes in-context
机构 * Imperial College London（伦敦帝国学院） ； Cohere
Comments EMNLP 2025
Efficient Beam Search for Large Language Models Using Trie-Based Decoding
机构 * Department of Computer Science, National Chengchi University（国立成功大学计算机科学系） ； Department of Computer Science, Cornell University（康奈尔大学计算机科学系） ； Institute of Information Science, Academia Sinica（中华科学研究院资讯研究所）
Comments 13 pages, accepted as a main conference paper at EMNLP 2025
NILE: Internal Consistency Alignment in Large Language Models
机构 * The Chinese University of Hong Kong（香港中文大学） ； City University of Hong Kong（香港城市大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） ； University of Edinburgh（爱丁堡大学）
Comments This work has been accepted by EMNLP 2025
Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM
机构 * Lehigh University（莱维大学） ； The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））
Comments Accepted to EMNLP 2025 Findings
Group-SAE: Efficient Training of Sparse Autoencoders for Large Language Models via Layer Groups
机构 * University of Milan-Bicocca（米兰-比科卡大学） ； London School of Economics（伦敦经济学院）
Comments Accepted version at EMNLP'25
Rethinking Backdoor Detection Evaluation for Language Models
机构 * University of Southern California（南加州大学） ； University of California, Davis（加州大学戴维斯分校）
Comments Accepted to EMNLP 2025
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts
机构 * Santa Clara University（圣克拉拉大学） ； DOCOMO Innovations, Inc.（DOCOMO创新公司） ； Rochester Institute of Technology（罗切斯特理工学院）
Comments EMNLP Findings
Temporal Scaling Law for Large Language Models
机构 * School of Software, Tsinghua University（清华大学软件学院） ； BNRist, Tsinghua University（清华大学BNRist） ； Kuaishou Technology（快手科技） ； Beihang University（北航） ； University of Chinese Academy of Sciences（中国科学院大学） ； School of Computer Science, BUPT（北京邮电大学计算机科学学院） ； Department of Automation, Tsinghua University（清华大学自动化系）
Comments Accepted by EMNLP'25 Main Conference (Oral presentation), Camera-ready version
InteGround: On the Evaluation of Verification and Retrieval Planning in Integrative Grounding
机构 * The Hong Kong University of Science and Technology（香港科学与技术大学） ； Shanghai Jiaotong University（上海交通大学）
Comments Accepted to EMNLP 2025 Findings
Challenging the Evaluator: LLM Sycophancy Under User Rebuttal
机构 * Johns Hopkins University（约翰霍普金斯大学）
Comments Accepted to EMNLP 2025 Findings
Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domains
机构 * University of Michigan（密歇根大学）
Comments Accepted to EMNLP 2025
Seeing Culture: A Benchmark for Visual Reasoning and Grounding
机构 * Singapore Management University（新加坡管理大学） ； Bandung Institute of Technology（班达理工大学）
Comments Accepted to EMNLP 2025 Main Conference, https://seeingculture-benchmark.github.io/
Towards Universal Debiasing for Language Models-based Tabular Data Generation
机构 * Purdue University（普渡大学） ； Georgia Institute of Technology（佐治亚理工学院）
Comments EMNLP 2025 Findings
Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations
机构 * University of Southern California（南加州大学） ； USC Institute for Creative Technologies（USC创意技术研究所）
Comments Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Main Conference
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
机构 * Microsoft Research India（微软研究院印度分部）
Comments EMNLP 2025 (MAIN Conference)
AutoArabic: A Three-Stage Framework for Localizing Video-Text Retrieval Benchmarks
Comments Accepted at ArabicNLP 2025 (EMNLP 2025 workshop)
'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
机构 * University of Maryland（马里兰大学） ； University of Southern California（南加州大学）
Comments EMNLP 2025, ver 1, 35 pages
Evaluating Behavioral Alignment in Conflict Dialogue: A Multi-Dimensional Comparison of LLM Agents and Humans
机构 * University of Southern California（南加州大学） ； USC for Institute of Creative Technologies（南加州大学创意技术研究所）
Comments Accepted to EMNLP 2025 (Main Conference)
Whisper-UT: A Unified Translation Framework for Speech and Text
机构 * Center for Language and Speech Processing, Johns Hopkins University（语言与语音处理中心，约翰霍普金斯大学） ； Human Language Technology Center of Excellence, Johns Hopkins University（人类语言技术卓越中心，约翰霍普金斯大学） ； Georgetown University（乔治城大学）
Comments EMNLP 2025 Main Conference
Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction
机构 * Indian Institute of Technology Madras（印度理工学院马德拉斯学院）
Comments 14 Pages, 8 Tables, 2 Figures. Accepted and to be published in the proceedings of FinNLP, Empirical Methods in Natural Language Processing 2025
DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classification
机构 * Georgetown University（乔治·华盛顿大学）
Comments System submission for the DISRPT 2025 - Shared Task on Discourse Relation Parsing and Treebanking In conjunction with CODI-CRAC & EMNLP 2025. 1st place in Task 3: relation classification
Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts
机构 * University of Central Florida（中央佛罗里达大学）
Comments Accepted at EMNLP 2025 Findings. Camera Ready
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
机构 * KAIST AI（韩国科学技术院人工智能研究所） ； Applied Artificial Intelligence, Sungkyunkwan University（成均馆大学应用人工智能系）
Comments EMNLP 2025 Main Paper (Long)
Side Effects of Erasing Concepts from Diffusion Models
机构 * University of Maryland, Baltimore County（马里兰大学巴尔的摩分校）
Comments Findings of the Association for Computational Linguistics: EMNLP 2025
AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis
机构 * Stanford University（斯坦福大学） ； George Mason University（乔治·马歇尔大学）
Comments Accepted by EMNLP 2025
"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
机构 * UNC Chapel Hill（北卡罗来纳大学教堂山分校） ； Duke University（杜克大学） ； University of Washington（华盛顿大学） ； Google（谷歌）
Comments Accepted to EMNLP 2025 Findings - 25 pages, 6 figures, 4 tables
SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models
机构 * Dartmouth College（达特茅斯学院） ； Shandong University（山东大学）
Comments Accepted to EMNLP 2025 Main Conference (Oral Presentation)
