EMNLP

Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance

Songsheng Wang, Rucheng Yu, Zhihang Yuan, Chao Yu, Feng Gao, Yu Wang, Derek F. Wong

机构 * NICS-EFC Lab, Department of Electronic Engineering, Tsinghua University（清华大学电子工程系NICS-EFC实验室） ； Department of Computer and Information Science, University of Macau（澳门大学计算机与信息科学系） ； Infinigence AI ； Tsinghua University（清华大学） ； Zhongguancun Academy（中关村学院） 纠错

Comments 13 pages, 5 figures, Accepted by EMNLP 2025 (main conference)

Dissecting Persona-Driven Reasoning in Language Models via Activation Patching

Ansh Poonia, Maeghal Jain

机构 * Independent（独立研究者） 纠错

Comments EMNLP (Findings) 2025

Latent Inter-User Difference Modeling for LLM Personalization

Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng

机构 * National University of Singapore（新加坡国立大学） ； University of Science and Technology of China（中国科学技术大学） ； The Chinese University of Hong Kong（香港中文大学） 纠错

Comments 2025 EMNLP Main Conference (Oral)

A Similarity Measure for Comparing Conversational Dynamics

Sang Min Jung, Kaixiang Zhang, Cristian Danescu-Niculescu-Mizil

机构 * Cornell University（康奈尔大学） 纠错

Comments Proceedings of EMNLP 2025 (Findings). Code and demos available in ConvoKit (https://convokit.cornell.edu/)

Journalism-Guided Agentic In-Context Learning for News Stance Detection

Dahyun Lee, Jonghyeon Choi, Jiyoung Han, Kunwoo Park

Comments EMNLP 2025 (24 pages)

PDFMathTranslate: Scientific Document Translation Preserving Layouts

Rongxin Ouyang, Chang Chu, Zhikuang Xin, Xiangyao Ma

机构 * National University of Singapore（新加坡国立大学） ； Tsinghua University（清华大学） ； University of Chinese Academy of Sciences（中国科学院大学） ； Funstory.ai Limited（Funstory.ai有限公司） 纠错

Comments 7 pages, 4 figures, EMNLP 2025 System Demonstration

GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors

Hengyuan Zhang, Xinrong Chen, Yingmin Qiu, Xiao Liang, Ziyue Li, Guanyu Wang, Weiping Li, Tong Mo, Hayden Kwok-Hay So, Ngai Wong

机构 * The University of Hong Kong（香港大学） ； Peking University（北京大学） ； Beijing University of Posts and Telecommunications（北京邮电大学） ； University of California, Los Angeles（加州大学洛杉矶分校） ； National Science Library, Chinese Academy of Sciences（中国科学院国家科学图书馆） 纠错

Comments Accepted by EMNLP 2025

Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition

Panagiotis Kaliosis, John Pavlopoulos

机构 * Stony Brook University（石英溪大学） ； Archimedes, Athena Research Center（阿基米德研究所） ； Athens University of Economics and Business（雅典经济与商业大学） 纠错

Comments EMNLP 2025 Findings, 18 pages, 10 figures, 11 tables

From Chat Logs to Collective Insights: Aggregative Question Answering

Wentao Zhang, Woojeong Kim, Yuntian Deng

机构 * University of Waterloo（滑铁卢大学） ； Cornell University（康奈尔大学） 纠错

Journal ref EMNLP 2025

Does quantization affect models' performance on long-context tasks?

Anmol Mekala, Anirudh Atmakuru, Yixiao Song, Marzena Karpinska, Mohit Iyyer

Comments to appear in EMNLP 2025

BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text

Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori

机构 * Northern Illinois University（北伊利诺伊大学） ； University of North Texas（北德克萨斯大学） 纠错

Comments 16 pages, 8 figures, Accepted to the 2025 Conference on Empirical Methods in Natural Language Processing (Findings)

Tool Preferences in Agentic LLMs are Unreliable

Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubramanian, Parsa Hosseini, Soheil Feizi

机构 * University of Maryland（马里兰大学） 纠错

Comments Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025, main

Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments

Qingyu Lu, Liang Ding, Siyi Cao, Xuebo Liu, Kanjian Zhang, Jinxia Zhang, Dacheng Tao

机构 * Southeast University（东南大学） ； The University of Sydney（悉尼大学） ； Southeast University Shenzhen Research Institute（东南大学深圳研究院） ； Institute of Computing and Intelligence, Harbin Institute of Technology, Shenzhen, China（哈尔滨工业大学计算机与智能信息学院，深圳，中国） ； College of Computing and Data Science at Nanyang Technological University, Singapore 639798（南洋理工大学计算机与数据科学学院，新加坡） 纠错

Comments EMNLP 2025 - Findings

The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support

Suhas BN, Yash Mahajan, Dominik Mattioli, Andrew M. Sherrill, Rosa I. Arriaga, Chris W. Wiese, Saeed Abdullah

Comments 23 pages, 3 figures. Accepted for Oral presentation at EMNLP 2025

Scaling Low-Resource MT via Synthetic Data Generation with LLMs

Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann

机构 * University of Helsinki（赫尔辛基大学） ； University of Cambridge（剑桥大学） 纠错

Comments Accepted at EMNLP 2025 Main Conference

QA-prompting: Improving Summarization with Large Language Models using Question-Answering

Neelabh Sinha

机构 * Georgia Institute of Technology（佐治亚理工学院） 纠错

Comments Accepted at The Fifth Workshop on New Frontiers in Summarization (NewSumm) in The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)

LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models

Takumi Shibata, Yuichi Miyamura

机构 * Deloitte Analytics R&D（德勤分析研究与开发） 纠错

Comments Accepted to EMNLP 2025 (Main Conference)

KoACD: The First Korean Adolescent Dataset for Cognitive Distortion Analysis via Role-Switching Multi-LLM Negotiation

JunSeo Kim, HyeHyeon Kim

Comments Accepted to Findings of EMNLP 2025

How Real Are Synthetic Therapy Conversations? Evaluating Fidelity in Prolonged Exposure Dialogues

Suhas BN, Dominik Mattioli, Saeed Abdullah, Rosa I. Arriaga, Chris W. Wiese, Andrew M. Sherrill

机构 * College of Information Sciences and Technology, Penn State University（宾夕法尼亚州立大学信息科学与技术学院） ； Department of Psychiatry and Behavioral Sciences, Emory University（埃默里大学精神病学与行为科学系） ； School of Interactive Computing, Georgia Tech（佐治亚理工学院交互计算学院） ； School of Psychology, Georgia Tech（佐治亚理工学院心理学学院） 纠错

Comments 10 pages, 5 tables. Accepted for Poster presentation at EMNLP 2025

LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts

Yimu Wang, Mozhgan Nasr Azadani, Sean Sedwards, Krzysztof Czarnecki

机构 * University of Waterloo（滑铁卢大学） 纠错

Comments To appear at EMNLP 2025

Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering

Zixin Chen, Sicheng Song, Kashun Shum, Yanna Lin, Rui Sheng, Weiqi Wang, Huamin Qu

机构 * The Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

Comments 34 pages in total, EMNLP 2025

FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models

Mingyang Song, Mao Zheng, Zheng Li, Wenjie Yang, Xuan Luo, Yue Pan, Feng Zhang

机构 * Tencent Hunyuan（腾讯文英） 纠错

Comments Accepted by EMNLP 2025

Can Language Models Follow Multiple Turns of Entangled Instructions?

Chi Han, Xin Liu, Haodong Wang, Shiyang Li, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Qingyu Yin, Liang Qiu, Changlong Yu, Yifan Gao, Zheng Li, Bing Yin, Jingbo Shang, Heng Ji

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； University of California San Diego（加州大学圣地亚哥分校） 纠错

Comments The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) Findings

Context-aware Biases for Length Extrapolation

Ali Veisi, Hamidreza Amirzadeh, Amir Mansourian

Comments Accepted at EMNLP 2025 Main Conference

From Language to Cognition: How LLMs Outgrow the Human Language Network

Badr AlKhamissi, Greta Tuckute, Yingtian Tang, Taha Binhuraib, Antoine Bosselut, Martin Schrimpf

机构 * EPFL（苏黎世联邦理工学院） ； MIT（麻省理工学院） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

Comments EMNLP 2025. Project Page at https://language-to-cognition.epfl.ch

FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts

Ziyi Zhang, Zhen Sun, Zongmin Zhang, Jihui Guo, Xinlei He

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） 纠错

Comments Accepted to Findings of EMNLP 2025

Improving the quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristics

Aloka Fernando, Nisansa de Silva, Menan Velyuthan, Charitha Rathnayake, Surangika Ranathunga

机构 * Dept. of Computer Science and Engineering, University of Moratuwa（moratuwa大学计算机科学与工程系） ； School of Mathematical and Computational Sciences, Massey University（massey大学数学与计算科学学院） 纠错

Comments EMNLP 2025 Camera-ready version

All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark

Davide Testa, Giovanni Bonetta, Raffaella Bernardi, Alessandro Bondielli, Alessandro Lenci, Alessio Miaschi, Lucia Passaro, Bernardo Magnini

机构 * Università di Roma La Sapienza（罗马La Sapienza大学） ； Fondazione Bruno Kessler (FBK)（布鲁诺·凯斯勒基金会） ； Free University of Bozen-Bolzano（博兹纳-博尔扎诺自由大学） ； Dept. of Computer Science, University of Pisa（比萨大学计算机科学系） ； CoLing Lab, Dept. of Philology, Literature and Linguistics, University of Pisa（比萨大学语言学、文学与语言学系CoLing实验室） ； Istituto di Linguistica Computazionale "A. Zampolli" (CNR-ILC), ItaliaNLP Lab, Pisa（A. Zampolli计算语言学研究所（CNR-ILC），意大利NLP实验室，比萨） 纠错

Comments Accepted at Findings of EMNLP 2025

Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning

Xuyang Wu, Jinming Nian, Ting-Ruen Wei, Zhiqiang Tao, Hsin-Tai Wu, Yi Fang

机构 * Santa Clara University（圣克拉拉大学） ； Rochester Institute of Technology（罗切斯特理工学院） ； Docomo Innovations（Docomo创新） 纠错

Comments EMNLP Findings

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking

Junda Zhu, Lingyong Yan, Shuaiqiang Wang, Dawei Yin, Lei Sha

机构 * Beihang University（北京航空航天大学） ； Baidu Inc.（百度公司） ； Zhongguancun Laboratory（中关村实验室） 纠错

Comments EMNLP 2025