EMNLP

BLiSS 1.0: Evaluating Bilingual Learner Competence in Second Language Small Language Models

Yuan Gao, Suchir Salhan, Andrew Caines, Paula Buttery, Weiwei Sun

机构 * ALTA Institute（ALTA研究院） ； Department of Computer Science & Technology, University of Cambridge（计算机科学与技术系，剑桥大学） 纠错

Comments Accepted Paper at the BabyLM Workshop 2025 @ EMNLP (Presentation in Suzhou, China)

Dynamic Evaluation for Oversensitivity in LLMs

Sophia Xiao Pu, Sitao Cheng, Xin Eric Wang, William Yang Wang

机构 * University of California, Santa Barbara（加州大学圣芭芭拉分校） 纠错

Comments EMNLP-Findings 2025

Text or Pixels? It Takes Half: On the Token Efficiency of Visual Text Inputs in Multimodal LLMs

Yanhong Li, Zixuan Lan, Jiawei Zhou

机构 * Allen Institute for AI（艾伦人工智能研究所） ； University of Chicago（芝加哥大学） ； Stony Brook University（石溪大学） 纠错

Comments Accepted to EMNLP 2025 Findings ("Text or Pixels? Evaluating Efficiency and Understanding of LLMs with Visual Text Inputs")

Flexible-length Text Infilling for Discrete Diffusion Models

Andrew Zhang, Anushka Sivakumar, Chiawei Tang, Chris Thomas

机构 * Department of Computer Science（计算机科学系） 纠错

Comments Major edit of methodology section. Matches EMNLP camera-ready version

Can Large Language Models be Effective Online Opinion Miners?

Ryang Heo, Yongsik Seo, Junseong Lee, Dongha Lee

机构 * Department of Artificial Intelligence, Yonsei University - DLI Lab（人工智能系，延世大学 - DLI实验室） 纠错

Comments Accepted to EMNLP 2025 Main

TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research

Abir Harrasse, Philip Quirke, Clement Neo, Dhruv Nathawani, Luke Marks, Amir Abdullah

机构 * Martian ； Apart Research ； NVIDIA ； Thoughtworks ； Mohammed VI Polytechnic University（摩洛哥穆莱·易斯政院） 纠错

Comments Accepted to EMNLP 2025, 9 pages, 19 figures, 7 tables, 18 trained models Project Website: https://abirharrasse.github.io/tinysql/ Code Repository: https://github.com/withmartian/TinySQL Datasets and Models Viewer: https://huggingface.co/spaces/abir-hr196/tinysql-demo

From TOWER to SPIRE: Adding the Speech Modality to a Translation-Specialist LLM

Kshitij Ambilduke, Ben Peters, Sonal Sannigrahi, Anil Keshwani, Tsz Kin Lam, Bruno Martins, André F. T. Martins, Marcely Zanon Boito

机构 * ENS Paris-Saclay（巴黎-萨克雷大学） ； INESC-ID ； Instituto de Telecomunicações（电信研究所） ； Instituto Superior Técnico, Universidade de Lisboa（里斯本大学技术学院） ； Sapienza University of Rome（罗马萨皮恩扎大学） ； University of Edinburgh（爱丁堡大学） ； TransPerfect ； NAVER LABS Europe（NAVER欧洲实验室） 纠错

Comments EMNLP 2025 (Findings) camera ready

Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs

Dingkun Zhang, Shuhan Qi, Xinyu Xiao, Kehai Chen, Xuan Wang

机构 * Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳）） ； Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies（广东省新型安全智能技术重点实验室） 纠错

Comments EMNLP 2025 Main Conference

FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance

Mintong Kang, Vinayshekhar Bannihatti Kumar, Shamik Roy, Abhishek Kumar, Sopan Khosla, Balakrishnan Murali Narayanaswamy, Rashmi Gangadharaiah

机构 * UIUC（伊利诺伊大学） ； AWS AI Labs（亚马逊AI实验室） 纠错

Comments EMNLP 2025 Main Conference (Camera Ready)

Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations

Giorgos Filandrianos, Angeliki Dimitriou, Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou

机构 * National Technical University of Athens（国家技术大学雅典） ； Instituto de Telecomunicações（电信研究所） 纠错

Comments Accepted at EMNLP 2025

Demystifying Domain-adaptive Post-training for Financial LLMs

Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

机构 * Salesforce AI Research（Salesforce人工智能研究） 纠错

Comments EMNLP 2025 (Oral, ARR best paper nomination)

Stop Playing the Guessing Game! Target-free User Simulation for Evaluating Conversational Recommender Systems

Sunghwan Kim, Kwangwook Seo, Tongyoung Kim, Jinyoung Yeo, Dongha Lee

Comments Accepted to EMNLP 2025 Findings

Fine-Tuned Thoughts: Leveraging Chain-of-Thought Reasoning for Industrial Asset Health Monitoring

Shuxin Lin, Dhaval Patel, Christodoulos Constantinides

机构 * IBM Research（IBM研究院） 纠错

Comments Accepted at EMNLP 2025

When LRP Diverges from Leave-One-Out in Transformers

Weiqiu You, Siqi Zeng, Yao-Hung Hubert Tsai, Makoto Yamada, Han Zhao

机构 * University of Pennsylvania（宾夕法尼亚大学） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Okinawa Institute of Science and Technology（冲绳科学技术大学院） 纠错

Comments BlackboxNLP @ EMNLP 2025

Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency

Svetlana Maslenkova, Clement Christophe, Marco AF Pimentel, Tathagata Raha, Muhammad Umar Salman, Ahmed Al Mahrooqi, Avani Gupta, Shadab Khan, Ronnie Rajan, Praveenkumar Kanithi

机构 * M42, Abu Dhabi（阿布扎比M42） 纠错

Comments Accepted to EMNLP Main 2025

BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks

Tianyuan Huang, Zepeng Zhu, Hangdi Xing, Zirui Shao, Zhi Yu, Chaoxiong Yang, Jiaxian He, Xiaozhong Liu, Jiajun Bu

机构 * Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, Zhejiang University（浙江无障碍感知与智能系统重点实验室，浙江大学） ； Alibaba Group（阿里巴巴集团） ； Worcester Polytechnic Institute（沃斯特理工学院） ； Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and DataSecurity（杭州高新技术区（滨江）区块链与数据安全研究院） 纠错

Comments Accepted to EMNLP 2025

Does Reasoning Help LLM Agents Play Dungeons and Dragons? A Prompt Engineering Experiment

Patricia Delafuente, Arya Honraopatil, Lara J. Martin

机构 * University of Maryland, Baltimore County（马里兰大学巴尔的摩县分校） 纠错

Comments Published at the Wordplay: When Language Meets Games Workshop (EMNLP 2025)

SimBA: Simplifying Benchmark Analysis Using Performance Matrices Alone

Nishant Subramani, Alfredo Gomez, Mona Diab

机构 * Carnegie Mellon University - Language Technologies Institute（卡内基梅隆大学-语言技术研究所） 纠错

Comments EMNLP 2025 Findings

NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks

Javad Rafiei Asl, Sidhant Narula, Mohammad Ghasemigol, Eduardo Blanco, Daniel Takabi

机构 * Old Dominion University（旧 Dominion 大学） ； University of Arizona（亚利桑那大学） 纠错

Comments This paper has been accepted in the main conference proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). Javad Rafiei Asl and Sidhant Narula are co-first authors

Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs

Amber Shore, Russell Scheinberg, Ameeta Agrawal, So Young Lee

机构 * Portland State University（波特兰州立大学） ； Miami University（迈阿密大学） 纠错

Comments Accepted at EMNLP 2025 (main)

Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents

Ankan Mullick, Sombit Bose, Rounak Saha, Ayan Kumar Bhowmick, Aditya Vempaty, Prasenjit Dey, Ravi Kokku, Pawan Goyal, Niloy Ganguly

机构 * IIT Kharagpur（印度克达尔普大学） ； Emergence AI 纠错

Comments Paper accepted in EMNLP 2025 Main Conference (Full Paper)

Journal ref EMNLP 2025 Main Conference (Full Paper)

Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection

Ankan Mullick, Saransh Sharma, Abhik Jana, Pawan Goyal

机构 * IIT Kharagpur, India（印度理工学院Kharagpur） ； Adobe Research, India（Adobe研究） ； IIT Bhubaneswar, India（印度理工学院Bhubaneswar） 纠错

Comments EMNLP 2025 Main Conference Full Paper

Journal ref EMNLP 2025 Main Conference Full Paper

From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora

Yingli Shen, Wen Lai, Shuo Wang, Ge Gao, Kangyang Luo, Alexander Fraser, Maosong Sun

机构 * Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） ； Technical University of Munich（慕尼黑技术大学） ； Munich Center for Machine Learning（慕尼黑机器学习中心） ； Minzu University of China（民族大学） ； Institute for AI, Tsinghua University（清华大学人工智能研究院） 纠错

Comments EMNLP 2025 Main Conference (Oral)

WHAT-IF: Exploring Branching Narratives by Meta-Prompting Large Language Models

Runsheng "Anson" Huang, Lara J. Martin, Chris Callison-Burch

机构 * University of Pennsylvania（宾夕法尼亚大学） ； University of Maryland, Baltimore County（马里兰大学巴尔的摩县分校） 纠错

Comments Published in Wordplay: When Language Meets Games Workshop (EMNLP 2025)

Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty

Yu Feng, Phu Mon Htut, Zheng Qi, Wei Xiao, Manuel Mager, Nikolaos Pappas, Kishaloy Halder, Yang Li, Yassine Benajiba, Dan Roth

机构 * University of Pennsylvania（宾夕法尼亚大学） ； AWS AI Labs（AWS人工智能实验室） ； Johannes Gutenberg University of Mainz（美因茨约翰内斯·古滕贝格大学） ； Oracle AI（Oracle人工智能） 纠错

Comments EMNLP 2025 Findings

Journal ref EMNLP 2025 Findings

Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models

Shuodi Liu, Yingzhuo Liu, Zi Wang, Yusheng Wang, Huijia Wu, Liuyu Xiang, Zhaofeng He

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） 纠错

Comments Accepted to the Main Conference of EMNLP 2025 (Oral)

Modeling Layered Consciousness with Multi-Agent Large Language Models

Sang Hun Kim, Jongmin Lee, Dongkyu Park, So Young Lee, Yosep Chong

Comments 20 pages, 4 figures, accepted for presentation at EMNLP 2025 Workshop on Active and Passive LLM Personalization (PALS) OpenReview: https://openreview.net/forum?id=rUtNkYvGJI

Rethinking Search: A Study of University Students' Perspectives on Using LLMs and Traditional Search Engines in Academic Problem Solving

Md. Faiyaz Abdullah Sayeedi, Md. Sadman Haque, Zobaer Ibn Razzaque, Robiul Awoul Robin, Sabila Nawshin

Comments Acctepted at the EMNLP 2025 HCI+NLP Workshop

EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs

Numaan Naeem, Abdellah El Mekki, Muhammad Abdul-Mageed

机构 * MBZUAI ； The University of British Columbia（不列颠哥伦比亚大学） 纠错

Comments 28 pages, 2 figures, 14 tables, 50 listings, EMNLP 2025 Main

TaxoAlign: Scholarly Taxonomy Generation Using Language Models

Avishek Lahiri, Yufang Hou, Debarshi Kumar Sanyal

机构 * Indian Association for the Cultivation of Science（印度科学培养协会） ； IT:U Interdisciplinary Transformation University Austria（奥地利 interdisciplinary Transformation University） 纠错

Comments This paper has been accepted at the EMNLP 2025 Main Conference