ACL

Theory of Mind in Large Language Models: Assessment and Enhancement

Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan

机构 * Agency for Science Technology and Research (A*STAR)（科技研究局） ； Nanyang Technological University（南洋理工大学） ； Hong Kong University of Science and Technology (Guangzhou) China（香港科学与技术大学（广州）中国） 纠错

Comments Accepted to ACL 2025 main conference

Playing with Voices: Tabletop Role-Playing Game Recordings as a Diarization Challenge

Lian Remme, Kevin Tang

机构 * Heinrich Heine University Düsseldorf（海因里希·海涅大学多特蒙德） 纠错

Comments 15 pages, 14 figures, published in NAACL Findings 2025

Journal ref Findings of the Association for Computational Linguistics: NAACL 2025

Analysis of LLM as a grammatical feature tagger for African American English

Rahul Porwal, Alice Rozet, Pryce Houck, Jotsna Gowda, Sarah Moeller, Kevin Tang

机构 * University of Florida（佛罗里达大学） ； Heinrich Heine University Düsseldorf（杜塞尔多夫海因里希-海涅大学） 纠错

Comments 13 pages, Accepted to "Findings of the Association for Computational Linguistics: NAACL 2025"

Journal ref Findings of the Association for Computational Linguistics: NAACL 2025 (2025) 7744-7756

DRT: Deep Reasoning Translation via Long Chain-of-Thought

Jiaan Wang, Fandong Meng, Yunlong Liang, Jie Zhou

机构 * Pattern Recognition Center, WeChat AI, Tencent Inc（模式识别中心、微信AI、腾讯公司） 纠错

Comments ACL 2025 Findings

LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation

Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He

机构 * University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Mayo Clinic Arizona（梅奥诊所阿兹根） 纠错

Journal ref Findings of the Association for Computational Linguistics: ACL 2025

Frequency matters: Modeling irregular morphological patterns in Spanish with Transformers

Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney

机构 * Faculty of Arts and Humanities, Heinrich Heine University Düsseldorf（海因里希-海涅大学杜塞尔多夫分校艺术与人文学院） ； Department of English Language and Linguistics（英语语言与语言学系） ； Institute of Linguistics（语言学研究所） ； Department of Linguistics, College of Liberal Arts and Sciences, University of Florida（佛罗里达大学文理学院语言学系） 纠错

Comments Typos and grammatical corrections

Journal ref Findings of the Association for Computational Linguistics ACL (2025) 4474-4489

PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding

Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou

机构 * Huawei Munich Research Center（华为慕尼黑研究中心） 纠错

Comments Accepted at PrivateNLP Workshop at ACL 2024

What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering

Federico Errica, Giuseppe Siracusano, Davide Sanvito, Roberto Bifulco

机构 * NEC Italia（NEC意大利分公司） ； NEC Laboratories Europe（NEC欧洲实验室） 纠错

Comments Proceedings of the Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025)

Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs

Yijie Jin, Junjie Peng, Xuanchao Lin, Haochen Yuan, Lan Wang, Cangzhi Zheng

机构 * School of Computer Engineering and Science, Shanghai University（上海大学计算机工程与科学学院） 纠错

Journal ref https://aclanthology.org/2025.acl-long.109/

Robust Bias Detection in MLMs and its Application to Human Trait Ratings

Ingroj Shrestha, Louis Tay, Padmini Srinivasan

机构 * University of Iowa（爱荷华大学） ； Purdue University（普渡大学） 纠错

Comments Findings of NAACL 2025

Journal ref Findings of the Association for Computational Linguistics NAACL 2025, pages 4842-4858 (2025)

Sentiment Reasoning for Healthcare

Khai-Nguyen Nguyen, Khai Le-Duc, Bach Phan Tat, Duy Le, Long Vo-Dang, Truong-Son Hy

机构 * College of William and Mary（威廉与玛丽学院） ； University of Toronto（多伦多大学） ； University Health Network（大学健康网络） ； KU Leuven（鲁汶大学） ； Bucknell University（巴克内尔大学） ； University of Cincinnati（辛辛那提大学） ； University of Alabama at Birmingham（伯明翰大学） 纠错

Comments ACL 2025 Industry Track (Oral)

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models

Elena Sofia Ruzzetti, Giancarlo A. Xompero, Davide Venditti, Fabio Massimo Zanzotto

机构 * Human Centric ART, University of Rome Tor Vergata（罗马托尔维加塔大学人本艺术研究中心） ； Almawave S.p.A.（阿尔马韦斯公司） 纠错

Comments To be published at ACL 2025 (Main)

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger

Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

Comments 25 pages, camera ready version for ACL-2025

TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis

Yu Zhang, Wenxiang Guo, Changhao Pan, Dongyu Yao, Zhiyuan Zhu, Ziyue Jiang, Yuhan Wang, Tao Jin, Zhou Zhao

机构 * Zhejiang University（浙江大学） 纠错

Comments Accepted by Findings of ACL 2025

Journal ref Findings of the Association for Computational Linguistics: ACL 2025

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data

Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke

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

Comments In Findings of the Association for Computational Linguistics: ACL 2025

Pattern Recognition or Medical Knowledge? The Problem with Multiple-Choice Questions in Medicine

Maxime Griot, Jean Vanderdonckt, Demet Yuksel, Coralie Hemptinne

Comments ACL 2025 main

Task-Oriented Automatic Fact-Checking with Frame-Semantics

Jacob Devasier, Rishabh Mediratta, Akshith Putta, Chengkai Li

机构 * University of Texas at Arlington（德克萨斯大学阿灵顿分校） 纠错

Journal ref Findings of the Association for Computational Linguistics: ACL 2025, pages 13825-13842, Vienna, Austria. Association for Computational Linguistics

A Little Human Data Goes A Long Way

Dhananjay Ashok, Jonathan May

机构 * Information Sciences Institute, University of Southern California（信息科学研究所，南加州大学） 纠错

Comments ACL 2025

ChuLo: Chunk-Level Key Information Representation for Long Document Understanding

Yan Li, Soyeon Caren Han, Yue Dai, Feiqi Cao

机构 * School of Computer Science（计算机科学学院） ； The University of Sydney（悉尼大学） ； School of Computing and Information Systems（计算与信息系统学院） ； The University of Melbourne（墨尔本大学） ； School of Physics, Mathematics and Computing（物理、数学与计算学院） ； The University of Western Australia（西澳大学） 纠错

Comments The paper has been accepted to ACL 2025

Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model

Siheng Xiong, Ali Payani, Yuan Yang, Faramarz Fekri

机构 * Georgia Institute of Technology（佐治亚理工学院） ； Cisco Research（思科研究） 纠错

Comments ACL25 (main)

If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?

Ryo Yoshida, Shinnosuke Isono, Kohei Kajikawa, Taiga Someya, Yushi Sugimoto, Yohei Oseki

机构 * The University of Tokyo（东京大学） ； NINJAL ； The University of Osaka（大阪大学） 纠错

Comments 18 pages; To appear in ACL 2025

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain

Shintaro Ozaki, Yuta Kato, Siyuan Feng, Masayo Tomita, Kazuki Hayashi, Wataru Hashimoto, Ryoma Obara, Masafumi Oyamada, Katsuhiko Hayashi, Hidetaka Kamigaito, Taro Watanabe

机构 * Nara Institute of Science and Technology（奈良科学技术研究所） ； The University of Tokyo（东京大学） ； NEC Corporation（日本电气株式会社） 纠错

Comments Accepted to BioNLP2025 (Workshop colocated with ACL2025)

BQA: Body Language Question Answering Dataset for Video Large Language Models

Shintaro Ozaki, Kazuki Hayashi, Miyu Oba, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe

机构 * Nara Institute of Science and Technology（奈良科学技术大学） 纠错

Comments Accepted to ACL2025 (Main)

Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision

Ryo Yoshida, Taiga Someya, Yohei Oseki

机构 * The University of Tokyo（东京大学） 纠错

Comments Accepted by ACL 2024 (Findings)

Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization

Ximing Dong, Shaowei Wang, Dayi Lin, Ahmed E. Hassan

机构 * Centre for Software Excellence, Huawei, Canada（华为加拿大软件卓越中心） ； Department of Computer Science, University of Manitoba, Canada（曼尼托巴大学计算机科学系） ； School of Computing, Queen’s University, Canada（皇后大学计算学院） 纠错

Comments ACL 2025, Findings

Maximum Score Routing For Mixture-of-Experts

Bowen Dong, Yilong Fan, Yutao Sun, Zhenyu Li, Tengyu Pan, Xun Zhou, Jianyong Wang

机构 * Tsinghua University（清华大学） ； Tianjin University（天津大学） ； Seed-Foundation-Model Team（种子基础模型团队） 纠错

Journal ref In Findings of the Association for Computational Linguistics: ACL 2025, pages 12619-12632, Vienna, Austria

M$^3$FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset

Jie Zhu, Junhui Li, Yalong Wen, Xiandong Li, Lifan Guo, Feng Chen

机构 * School of Computer Science and Technology, Soochow University（苏州大学计算机科学与技术学院） ； Qwen DianJin Team, Alibaba Cloud Computing（阿里云量子金融团队） 纠错

Comments Accepted by ACL-2025

Journal ref The 63nd Annual Meeting of the Association for Computational Linguistics(ACL),2025

Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

Aman Singh Thakur, Kartik Choudhary, Venkat Srinik Ramayapally, Sankaran Vaidyanathan, Dieuwke Hupkes

机构 * University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校） ； Meta 纠错

Comments https://aclanthology.org/2025.gem-1.33/

Journal ref Proceedings of the Fourth Workshop on Generation Evaluation and Metrics GEM2 2025 pages 404 to 430; July 31 August 1 2025; 2025 Association for Computational Linguistics

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss

Yujian Sun, Tian Li

机构 * Shumei AI Research Institute（Shumei人工智能研究院） ； School of Computing（计算学院） 纠错

Journal ref Association for Computational Linguistics, Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 1357-1369

Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model's Capability of Emotion Perception using Contrastive Learning

Tian Li, Yujian Sun, Huizhi Liang

机构 * School of Computing, Newcastle University（计算学院，新卡斯尔大学） ； Shumei AI Research Institute（舒美人工智能研究院） 纠错

Journal ref Association for Computational Linguistics, Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 319-330