EMNLP

LLM-Hanabi: Evaluating Multi-Agent Gameplays with Theory-of-Mind and Rationale Inference in Imperfect Information Collaboration Game

Fangzhou Liang, Tianshi Zheng, Chunkit Chan, Yauwai Yim, 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

Instability in Downstream Task Performance During LLM Pretraining

Yuto Nishida, Masaru Isonuma, Yusuke Oda

机构 * Nara Institute of Science and Technology（那拉科学与技术研究所） ； Tohoku University（东北大学） ； Research and Development Center for Large Language Models, National Institute of Informatics（大型语言模型研究与开发中心，信息学国家研究所） 纠错

Comments Accepted to EMNLP 2025 Findings

QuantAgents: Towards Multi-agent Financial System via Simulated Trading

Xiangyu Li, Yawen Zeng, Xiaofen Xing, Jin Xu, Xiangmin Xu

机构 * South China University of Technology（南方科技大学） ； Pazhou Lab（琶洲实验室） ； Foshan University（佛山大学） 纠错

Comments This paper has been accepted by EMNLP 2025

Language Model Based Text-to-Audio Generation: Anti-Causally Aligned Collaborative Residual Transformers

Juncheng Wang, Chao Xu, Cheng Yu, Zhe Hu, Haoyu Xie, Guoqi Yu, Lei Shang, Shujun Wang

机构 * The Hong Kong Polytechnic University（香港理工大学） ； Alibaba Group（阿里巴巴集团） 纠错

Comments Accepted to EMNLP 2025

GenQuest: An LLM-based Text Adventure Game for Language Learners

Qiao Wang, Adnan Labib, Robert Swier, Michael Hofmeyr, Zheng Yuan

机构 * Hosei University（立命馆大学） ； King’s College London（伦敦大学国王学院） ； Kindai University（_kindai大学） ； Tokyo Uni. of Science（东京科学大学） ； University of Sheffield（谢菲尔德大学） 纠错

Comments Workshop on Wordplay: When Language Meets Games, EMNLP 2025

On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs

Lucie Kunitomo-Jacquin, Edison Marrese-Taylor, Ken Fukuda

机构 * National Institute of Advanced Industrial Science and Technology (AIST)（国家先进工业科学与技术研究院） 纠错

Comments Accepted to UncertaiNLP workshop of EMNLP 2025

Good Intentions Beyond ACL: Who Does NLP for Social Good, and Where?

Grace LeFevre, Qingcheng Zeng, Adam Leif, Jason Jewell, Denis Peskoff, Rob Voigt

机构 * Northwestern University（西北大学） ； University of California, Los Angeles（加州大学洛杉矶分校） ； University of California, Davis（加州大学戴维斯分校） 纠错

Comments EMNLP 2025

Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluation

Ankit Vadehra, Bill Johnson, Gene Saunders, Pascal Poupart

机构 * University of Waterloo（滑铁卢大学） ； Vector Institute（向量研究所） ； Scribendi Inc.（Scribendi公司） 纠错

Comments Accepted for publication in the 4th HCI+NLP Workshop (Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing; part of EMNLP 2025)

SliceMoE: Routing Embedding Slices Instead of Tokens for Fine-Grained and Balanced Transformer Scaling

Harshil Vejendla

Comments EMNLP 2025 Main, 8 pages, 9 figures

Internal states before wait modulate reasoning patterns

Dmitrii Troitskii, Koyena Pal, Chris Wendler, Callum Stuart McDougall, Neel Nanda

机构 * Independent（独立研究者） ； Northeastern University（东北大学） 纠错

Comments Accepted to EMNLP Findings 2025

Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment

Yunfan Zhang, Kathleen McKeown, Smaranda Muresan

机构 * Columbia University（哥伦比亚大学） ； Barnard College（巴纳德学院） 纠错

Comments ACL EMNLP 2025

Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models

Md. Atabuzzaman, Andrew Zhang, Chris Thomas

机构 * Department of Computer Science（计算机科学系） ； Virginia Tech（弗吉尼亚理工大学） 纠错

Comments Accepted to EMNLP 2025 Findings

A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight

Griffin Pitts, Anurata Prabha Hridi, Arun-Balajiee Lekshmi-Narayanan

Comments 2025 EMNLP HCI+NLP Workshop Short Paper

Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods

Yulin Chen, Haoran Li, Yuan Sui, Yangqiu Song, Bryan Hooi

Comments EMNLP 2025 Findings

Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation

Seungseop Lim, Gibaeg Kim, Wooseok Han, Jean Seo, Hyunkyung Lee, Jaehyo Yoo, Eunho Yang

Comments EMNLP 2025 Industry Track

Rethinking the Role of Text Complexity in Language Model Pretraining

Dan John Velasco, Matthew Theodore Roque

机构 * Samsung R&D Institute Philippines（三星菲律宾研发中心） 纠错

Comments Camera-ready version for BabyLM Workshop at EMNLP 2025

CEMTM: Contextual Embedding-based Multimodal Topic Modeling

Amirhossein Abaskohi, Raymond Li, Chuyuan Li, Shafiq Joty, Giuseppe Carenini

Comments EMNLP 2025

Meta-Pretraining for Zero-Shot Cross-Lingual Named Entity Recognition in Low-Resource Philippine Languages

David Demitri Africa, Suchir Salhan, Yuval Weiss, Paula Buttery, Richard Diehl Martinez

机构 * University of Cambridge（剑桥大学） 纠错

Comments Accepted (poster) to 5th Workshop on Multilingual Representation Learning at EMNLP 2025

LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo

Mandira Sawkar, Samay U. Shetty, Deepak Pandita, Tharindu Cyril Weerasooriya, Christopher M. Homan

机构 * Rochester Institute of Technology（罗切斯特理工学院） 纠错

Comments To appear in Proceedings of the EMNLP 2025 Workshop on Learning with Disagreements (LeWiDi)

XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML

Ernesto L. Estevanell-Valladares, Suilan Estevez-Velarde, Yoan Gutiérrez, Andrés Montoyo, Ruslan Mitkov

机构 * University of Alicante（阿利坎特大学） ； University of Havana（哈瓦那大学） ； University of Lancaster（兰卡斯特大学） 纠错

Comments 18 pages, 10 figures, 7 tables. Preprint. Accepted at EMNLP 2025

User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal

Yuhan Liu, Michael J. Q. Zhang, Eunsol Choi

机构 * New York University（纽约大学） 纠错

Comments EMNLP camera-ready

C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations

Chengqian Ma, Wei Tao, Yiwen Guo

机构 * Peking University（北京大学） ； LIGHTSPEED 纠错

Comments EMNLP 2025 main; Project Page: https://step-out.github.io/C3-web/

TopicAttack: An Indirect Prompt Injection Attack via Topic Transition

Yulin Chen, Haoran Li, Yuexin Li, Yue Liu, Yangqiu Song, Bryan Hooi

Comments EMNLP 2025

The Security Threat of Compressed Projectors in Large Vision-Language Models

Yudong Zhang, Ruobing Xie, Xingwu Sun, Jiansheng Chen, Zhanhui Kang, Di Wang, Yu Wang

机构 * Department of Electronic Engineering, Tsinghua University（清华大学电子工程系） ； Large Language Model Department, Tencent（腾讯大语言模型部门） ； School of Computer and Communication Engineering, University of Science and Technology Beijing（北京科技大学计算机与通信工程学院） ； Faculty of Science and Technology, University of Macau（澳门大学科技学院） 纠错

Comments Accepted by EMNLP 2025 findings

LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation

Chaeeun Kim, Jinu Lee, Wonseok Hwang

Comments EMNLP 2025 Main Conference

Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking

Yunyi Zhang, Ruozhen Yang, Siqi Jiao, SeongKu Kang, Jiawei Han

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Korea University（韩国大学） 纠错

Comments Accepted to EMNLP 2025 Findings

From Word to World: Evaluate and Mitigate Culture Bias in LLMs via Word Association Test

Xunlian Dai, Li Zhou, Benyou Wang, Haizhou Li

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） ； Shenzhen Research Institute of Big Data（深圳大数据研究院） 纠错

Comments Cultural Analysis, Cultural Alignment, Word Association Test, Large Language Models. Accepted by EMNLP 2025 (Oral)

Can Large Language Models Outperform Non-Experts in Poetry Evaluation? A Comparative Study Using the Consensual Assessment Technique

Piotr Sawicki, Marek Grześ, Dan Brown, Fabrício Góes

Comments 18 pages, 3 figures. Accepted for publication at the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions

Hazel Kim, Tom A. Lamb, Adel Bibi, Philip Torr, Yarin Gal

机构 * University of Oxford（牛津大学） 纠错

Comments Accepted to EMNLP(main)2025

Searching for the Most Human-like Emergent Language

Brendon Boldt, David Mortensen

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

Comments Accepted for publication at the 2025 Conference on Empirical Methods in Natural Language Processing; 19 pages, 12 figures