EMNLP

LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question Answering

Ran Zhang, Wei Zhao, Lieve Macken, Steffen Eger

机构 * Natural Language Learning Group (NLLG) School of Business Informatics and Mathematics University of Mannheim（曼海姆大学商业信息学与数学学院自然语言学习组） ； University of Aberdeen, Department of Computing Science（阿伯丁大学计算机科学系） ； University of Gent, Department of Translation, Interpreting and Communication（根特大学翻译、口译与传播系） ； University of Technology Nuremberg (UTN), Department Engineering（纽伦堡技术大学工程系） ； Natural Language Learning and Generation (NLLG) Lab（自然语言学习与生成（NLLG）实验室） 纠错

Comments Accepted as a main paper at EMNLP 2025. CR version

MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors

Jakub Macina, Nico Daheim, Ido Hakimi, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan

机构 * Department of Computer Science, ETH Zurich（苏黎世联邦理工学院计算机科学系） ； ETH AI Center（ETH人工智能中心） ； Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science, Technical University of Darmstadt and National Research Center for Applied Cybersecurity ATHENE, Germany（达姆施塔特技术大学计算机科学系） ； Professorship for Learning Sciences and Higher Education, ETH Zurich（苏黎世联邦理工学院学习科学与高等教育教授职位） 纠错

Comments Accepted to EMNLP 2025 Main as an oral presentation. Website: https://eth-lre.github.io/mathtutorbench

LIDDIA: Language-based Intelligent Drug Discovery Agent

Reza Averly, Frazier N. Baker, Ian A. Watson, Xia Ning

机构 * Department of Computer Science and Engineering, The Ohio State University, USA（俄亥俄州立大学计算机科学与工程系） ； Independent Researcher（独立研究者） ； Department of Biomedical Informatics, The Ohio State University, USA（俄亥俄州立大学生物医学信息学系） ； Translational Data Analytics Institute, The Ohio State University, USA（俄亥俄州立大学转化数据分析研究所） ； College of Pharmacy, The Ohio State University, USA（俄亥俄州立大学药学院） 纠错

Comments EMNLP 2025 Main Conference

Who Speaks Matters: Analysing the Influence of the Speaker's Ethnicity on Hate Classification

Ananya Malik, Kartik Sharma, Shaily Bhatt, Lynnette Hui Xian Ng

机构 * Northeastern University（东北大学） ； Georgia Institute of Technology（佐治亚理工学院） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments 9 pages, 3 figures, 3 tables. To appear in EMNLP 2025 findings

DixitWorld: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay

Yunxiang Mo, Tianshi Zheng, Qing Zong, Jiayu Liu, Baixuan Xu, Yauwai Yim, Chunkit Chan, Jiaxin Bai, Yangqiu Song

机构 * Department of Computer Science and Engineering, HKUST, Hong Kong SAR, China（计算机科学与工程系，香港科技大学，香港特别行政区，中国） 纠错

Comments EMNLP 2025 Wordplay (Spotlight)

Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations

Yimin Xiao, Yongle Zhang, Dayeon Ki, Calvin Bao, Marianna J. Martindale, Charlotte Vaughn, Ge Gao, Marine Carpuat

Comments EMNLP 2025

CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs

Nafiseh Nikeghbal, Amir Hossein Kargaran, Jana Diesner

机构 * Technical University of Munich（慕尼黑技术大学） ； LMU Munich（慕尼黑大学） ； Munich Center for Machine Learning（慕尼黑机器学习中心） 纠错

Comments EMNLP 2025 (Oral)

Task-Aware Resolution Optimization for Visual Large Language Models

Weiqing Luo, Zhen Tan, Yifan Li, Xinyu Zhao, Kwonjoon Lee, Behzad Dariush, Tianlong Chen

机构 * University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） ； Arizona State University（亚利桑那州立大学） ； Michigan State University（密歇根州立大学） ； Honda Research Institute USA（本田美国研究院） 纠错

Comments Accepted as a main conference paper at EMNLP 2025. 9 pages (main content), 7 figures

The Idola Tribus of AI: Large Language Models tend to perceive order where none exists

Shin-nosuke Ishikawa, Masato Todo, Taiki Ogihara, Hirotsugu Ohba

机构 * Graduate School of Artificial Intelligence and Science, Rikkyo University（人工智能与科学研究生院，立命馆大学） ； Strategic Digital Business Unit, Mamezou Co., Ltd.（战略数字商务部，麦迈株式会社） 纠错

Comments 14 pages, 3 figures, accepted to Findings of EMNLP 2025

Leveraging LLMs to Streamline the Review of Public Funding Applications

Joao D. S. Marques, Andre V. Duarte, Andre Carvalho, Gil Rocha, Bruno Martins, Arlindo L. Oliveira

机构 * Instituto Superior Técnico（理工学院） ； INESC-ID（里斯本创新科学与技术研究中心） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments Paper Accepted at EMNLP 2025 Industry Track

SPFT-SQL: Enhancing Large Language Model for Text-to-SQL Parsing by Self-Play Fine-Tuning

Yuhao Zhang, Shaoming Duan, Jinhang Su, Chuanyi Liu, Peiyi Han

机构 * Harbin Institute of Technology（哈尔滨工业大学） ； Pengcheng Laboratory（鹏城实验室） 纠错

Comments EMNLP 2025 Findings

Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills

Changsheng Wang, Chongyu Fan, Yihua Zhang, Jinghan Jia, Dennis Wei, Parikshit Ram, Nathalie Baracaldo, Sijia Liu

机构 * Michigan State University（密歇根州立大学） ； IBM Research（IBM研究院） 纠错

Comments Accepted by EMNLP 2025

Think in Safety: Unveiling and Mitigating Safety Alignment Collapse in Multimodal Large Reasoning Model

Xinyue Lou, You Li, Jinan Xu, Xiangyu Shi, Chi Chen, Kaiyu Huang

机构 * Key Laboratory of Big Data & Artificial Intelligence in Transportation (Beijing Jiaotong University), Ministry of Education（大数据与人工智能交通联合实验室（北京交通大学）） ； School of Computer Science and Technology, Beijing Jiaotong University（计算机科学与技术学院，北京交通大学） ； Tsinghua University（清华大学） 纠错

Comments Accepted by EMNLP 2025 (main)

Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization

Siyuan Zhang, Yichi Zhang, Yinpeng Dong, Hang Su

机构 * Dept. of Comp. Sci. and Tech.（计算机科学与技术系） ； Institute for AI（人工智能研究院） ； Tsinghua-Bosch Joint ML Center（清华大学-博世联合机器学习中心） ； THBI Lab（THBI实验室） ； BNRist Center（BNRist中心） ； Tsinghua University（清华大学） 纠错

Comments 33 pages, 17 figures, 21 tables, accepted by EMNLP 2025 as findings paper

FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference

Yu-Chen Lu, Chong-Yan Chen, Chi-Chih Chang, Yu-Fang Hu, Kai-Chiang Wu

机构 * National Yang Ming Chiao Tung University ； Macronix International Co., Ltd. ； Cornell University 纠错

Comments Accepted by EMNLP 2025

Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices

Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Mizanur Rahman, Amran Bhuiyan, Israt Jahan, Mir Tafseer Nayeem, Shafiq Joty, Enamul Hoque, Jimmy Huang

机构 * York University（约克大学） ； University of Alberta（阿尔伯塔大学） ； Salesforce AI Research（Salesforce AI研究） 纠错

Comments Accepted to the EMNLP 2025 Industry Track

CLARITY: Clinical Assistant for Routing, Inference, and Triage

Vladimir Shaposhnikov, Aleksandr Nesterov, Ilia Kopanichuk, Ivan Bakulin, Egor Zhelvakov, Ruslan Abramov, Ekaterina Tsapieva, Iaroslav Bespalov, Dmitry V. Dylov, Ivan Oseledets

机构 * AIRI ； Skoltech（斯克里普奇克技术学院） ； MIPT（莫斯科理工学院） ； SberMedAI ； Sber 纠错

Comments Accepted to EMNLP 2025 (Industrial Track)

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models

Aneesh Komanduri, Karuna Bhaila, Xintao Wu

机构 * Department of Electrical Engineering and Computer Science University of Arkansas（电气工程与计算机科学系 奎萨克大学） 纠错

Comments Accepted to the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Main)

How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders

Tatsuro Inaba, Go Kamoda, Kentaro Inui, Masaru Isonuma, Yusuke Miyao, Yohei Oseki, Benjamin Heinzerling, Yu Takagi

机构 * MBZUAI（穆萨大学人工智能研究所） ； SOKENDAI（神户大学） ； NINJAL（日本国家研究所） ； Tohoku University（东北大学） ； RIKEN（日本研究机构） ； NII LLMC（日本信息处理学会大语言模型中心） ； University of Tokyo（东京大学） ； Nagoya Institute of Technology（名古屋技术大学） 纠错

Comments 13 pages, 17 figures, accepted to EMNLP 2025 findings

Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers

Eugene Jang, Kimin Lee, Jin-Woo Chung, Keuntae Park, Seungwon Shin

机构 * Northeastern University（东北大学） ； KAIST（韩国科学技术院） ； S2W Inc.（S2W公司） 纠错

Comments EMNLP 2025 Main

FrameEOL: Semantic Frame Induction using Causal Language Models

Chihiro Yano, Kosuke Yamada, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda

机构 * Nagoya University（名古屋大学） ； CyberAgent ； National Institute of Informatics（日本信息处理学会） 纠错

Comments Accepted in EMNLP Findings 2025. This version corrects the model size of Table 3

Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation

Muhammad Ali Shafique, Kanwal Mehreen, Muhammad Arham, Maaz Amjad, Sabur Butt, Hamza Farooq

机构 * University of British Columbia（不列颠哥伦比亚大学） ； Texas Tech University（德克萨斯技术大学） ； Institute for the Future of Education, Tecnológico de Monterrey（教育未来研究所，墨西哥蒙特雷技术学院） 纠错

Comments Accepted to the EMNLP 2025 Workshop on Multilingual Representation Learning (MRL)

MASA: LLM-Driven Multi-Agent Systems for Autoformalization

Lan Zhang, Marco Valentino, André Freitas

机构 * Department of Computer Science, University of Manchester（曼彻斯特大学计算机科学系） ； School of Computer Science, University of Sheffield（谢菲尔德大学计算机科学学院） ； Idiap Research Institute（Idiap研究 institute） ； National Biomarker Centre, CRUK Manchester Institute（国家生物标志物中心，CRUK曼彻斯特研究所） 纠错

Comments EMNLP 2025 Demo camera-ready. Code and data are available at: https://github.com/lanzhang128/multi_agent_autoformalization

Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions

Nicholas Deas, Kathleen McKeown

机构 * Columbia University（哥伦比亚大学） 纠错

Comments EMNLP 2025 Camera Ready

D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition

Yiyang Huang, Yizhou Wang, Yun Fu

机构 * Northeastern University（东北大学） 纠错

Comments This paper has been accepted to EMNLP 2025

Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models

S M Rafiuddin, Muntaha Nujat Khan

Comments 14 Pages, 2 Figures, 6 Table, Accepted at EMNLP 2025 Findings as a Short Paper

PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction

Anubhav Shrimal, Aryan Jain, Soumyajit Chowdhury, Promod Yenigalla

机构 * RBS Tech Sciences, Amazon（RBS科技科学，亚马逊） 纠错

Comments EMNLP 2025 Industry Track

Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation

Devleena Das, Rajeev Patwari, Ashish Sirasao

机构 * Advanced Micro Devices, Inc. (AMD)（先进微器件公司（AMD）） 纠错

Comments Accepted to EMNLP 2025 Industry Track

Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance

Yufei He, Ruoyu Li, Alex Chen, Yue Liu, Yulin Chen, Yuan Sui, Cheng Chen, Yi Zhu, Luca Luo, Frank Yang, Bryan Hooi

机构 * National University of Singapore（新加坡国立大学） ； ByteDance Inc.（字节跳动公司） 纠错

Comments EMNLP 2025

Automating eHMI Action Design with LLMs for Automated Vehicle Communication

Ding Xia, Xinyue Gui, Fan Gao, Dongyuan Li, Mark Colley, Takeo Igarashi

机构 * The University of Tokyo（东京大学） ； University College London（伦敦大学学院） 纠错

Comments Accepted as findings for EMNLP 2025