ACL

From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling

Mohsinul Kabir, Tasfia Tahsin, Sophia Ananiadou

机构 * Department of Computer Science, National Center for Text Mining, The University of Manchester（计算机科学系，文本挖掘国家中心，曼彻斯特大学） ； Department of Computer Science and Engineering, Islamic University of Technology（计算机科学与工程系，伊斯兰技术大学） 纠错

Comments Accepted at EMNLP 2025 (Findings)

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

Semantic, Orthographic, and Phonological Biases in Humans' Wordle Gameplay

Jiadong Liang, Adam Kabbara, Jiaying Liu, Ronaldo Luo, Kina Kim, Michael Guerzhoy

机构 * Division of Engineering Science, University of Toronto（工程科学系，多伦多大学） 纠错

Comments Findings of the ACL: IJCNLP-AACL 2025 (accepted)

Representing LLMs in Prompt Semantic Task Space

Idan Kashani, Avi Mendelson, Yaniv Nemcovsky

机构 * Technion - Israel Institute of Technology（技术离子-以色列理工学院） 纠错

Comments Accepted to Findings of the Association for Computational Linguistics: EMNLP 2025

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective

Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院） ； Beijing Key Laboratory of Research on Large Models and Intelligent Governance（北京大型模型与智能治理研究重点实验室） ； Engineering Research Center of Next-Generation Intelligent Search and Recommendation, MOE（下一代智能搜索与推荐工程技术研究中心，教育部） ； Kuaishou Technology（快手科技） ； University of Chinese Academy of Sciences（中国科学院大学） 纠错

Comments Accepted to ACL 2025

Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation

Pengchao Feng, Ziyang Ma, Wenxi Chen, Yao Li, Sheng Wang, Kai Yu, Xie Chen

机构 * MoE Key Lab of Artificial Intelligence（人工智能增强实验室） ； Jiangsu Key Lab of Language Computing（江苏语言计算重点实验室） ； X-LANCE Lab（X-LANCE实验室） ； School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Aviation Electric Co., Ltd（上海航空电器有限公司） 纠错

Comments Accepted to EMNLP 2025 Findings

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, pages 4499-4507

It Takes Two: A Dual Stage Approach for Terminology-Aware Translation

Akshat Singh Jaswal

机构 * PES University（PES大学） 纠错

Comments Accepted to WMT 2025. Code availavle at https://github.com/akshat-sj/duterm

Journal ref In Proceedings of the Tenth Conference on Machine Translation, pages 1344-1350, Suzhou, China. Association for Computational Linguistics (2025)

Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction

WonJin Yoon, Boyu Ren, Spencer Thomas, Chanhwi Kim, Guergana Savova, Mei-Hua Hall, Timothy Miller

Comments Published in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025, Main Track)

Journal ref In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 28025-28042, Suzhou, China. Association for Computational Linguistics

Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages

Max Zuo, Francisco Piedrahita Velez, Xiaochen Li, Michael L. Littman, Stephen H. Bach

机构 * Brown University（布朗大学） 纠错

Comments NAACL Main Conference 2025

Journal ref Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements

Patrick Haller, Jonas Golde, Alan Akbik

机构 * Humboldt-Universität zu Berlin（洪堡大学柏林分校） 纠错

Journal ref Proceedings of the First BabyLM Workshop 2025, pages 175 to 191, Suzhou, China. Association for Computational Linguistics

Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond

Yinghao Hu, Yaoyao Yu, Leilei Gan, Bin Wei, Kun Kuang, Fei Wu

机构 * College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院） ； Guanghua Law School, Zhejiang University（浙江大学光华法学院） ； School of Software Technology, Zhejiang University（浙江大学软件学院） ； Law & AI Lab, Zhejiang University（浙江大学法律与人工智能实验室） ； Shanghai AI Laboratory（上海人工智能实验室） 纠错

Comments 23 pages, Published in Findings of the Association for Computational Linguistics: EMNLP 2025

Likelihood-based Mitigation of Evaluation Bias in Large Language Models

Masanari Oi, Masahiro Kaneko, Ryuto Koike, Mengsay Loem, Naoaki Okazaki

机构 * Tokyo Institute of Technology（东京技术大学） ； MBZUAI 纠错

Comments 5 main pages

Journal ref ACL2024 (findings)

Learning Task Representations from In-Context Learning

Baturay Saglam, Xinyang Hu, Zhuoran Yang, Dionysis Kalogerias, Amin Karbasi

机构 * Yale University（耶鲁大学） 纠错

Comments ACL Findings 2025

Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias

Venkata S Govindarajan, Matianyu Zang, Kyle Mahowald, David Beaver, Junyi Jessy Li

Comments Accepted to Findings@EMNLP 2024

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024

GraphCheck: Multipath Fact-Checking with Entity-Relationship Graphs

Hyewon Jeon, Jay-Yoon Lee

机构 * Seoul National University（首尔国立大学） 纠错

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, Suzhou, China, pp. 24728-24745

CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis

Fuying Wang, Feng Wu, Yihan Tang, Lequan Yu

机构 * Department of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong（统计与精算学系，计算与数据科学学院，香港大学） 纠错

Comments ACL 2025 Findings

Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents

Jaeyoung Choe, Jihoon Kim, Woohwan Jung

机构 * Department of Applied Artificial Intelligence, Hanyang University（应用人工智能系，翰阳大学） 纠错

Comments ACL 2025 (Findings)

PhysicsEval: Inference-Time Techniques to Improve the Reasoning Proficiency of Large Language Models on Physics Problems

Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan

机构 * Systems and Software Lab (SSL) Department of Computer Science and Engineering（系统与软件实验室（SSL）计算机科学与工程系） 纠错

Comments Accepted in Findings of the Association for Computational Linguistics: IJCNLP-AACL 2025, 23 pages, 4 figures, 8 tables

From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation

Najrin Sultana, Md Rafi Ur Rashid, Kang Gu, Shagufta Mehnaz

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） ； Dartmouth College（达特茅斯学院） 纠错

Comments Findings of the Association for Computational Linguistics: EMNLP 2025 (camera-ready)

MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation

Haris Riaz, Sourav Bhabesh, Vinayak Arannil, Miguel Ballesteros, Graham Horwood

Comments 33 pages, 17 figures. Findings of ACL 2025

Journal ref Findings of the Association for Computational Linguistics: ACL 2025, pp. 18770-18803, Vienna, Austria, 2025. Association for Computational Linguistics

How well do LLMs reason over tabular data, really?

Cornelius Wolff, Madelon Hulsebos

机构 * Centrum Wiskunde & Informatica（数学与信息学研究中心） 纠错

Comments 10 pages, 4 figures

Journal ref The 4th Table Representation Learning Workshop at ACL 2025

Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs

Indira Sen, Marlene Lutz, Elisa Rogers, David Garcia, Markus Strohmaier

Journal ref Findings of the Association for Computational Linguistics (ACL 2025), page 24263

ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models

Haziq Mohammad Khalid, Athikash Jeyaganthan, Timothy Do, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu

机构 * Algoverse AI Research（Algoverse AI研究院） 纠错

Comments 14 pages, 5 figures

Journal ref Proceedings of the 2nd Workshop on Uncertainty Aware NLP (UncertaiNLP 2025), Suzhou, China, Association for Computational Linguistics, pp. 273--286, 2025

Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks?

Simeon Junker, Manar Ali, Larissa Koch, Sina Zarrieß, Hendrik Buschmeier

机构 * Bielefeld University（比勒菲尔德大学） 纠错

Comments To appear in ACL Findings 2025

Journal ref Findings of the Association for Computational Linguistics: ACL 2025, pp. 24101-24109

BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities

Sahal Shaji Mullappilly, Mohammed Irfan Kurpath, Sara Pieri, Saeed Yahya Alseiari, Shanavas Cholakkal, Khaled Aldahmani, Fahad Khan, Rao Anwer, Salman Khan, Timothy Baldwin, Hisham Cholakkal

机构 * Mohamed Bin Zayed University of Artificial Intelligence（Mohamed Bin Zayed大学人工智能学院） ； Linköping University（林肯大学） ； Shaikh Tahnoon bin Mohammed Medical City（Shaikh Tahnoon bin Mohammed医疗城） ； Tawam Hospital（Tawam医院） ； Sheikh Shakhbout Medical City（Sheikh Shakhbout医疗城） ； Govt Medical College Kozhikode（科钦政府医学院） 纠错

Comments Accepted to EMNLP 2025 (Findings)

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, pages 14051-14071

Memorization: A Close Look at Books

Iris Ma, Ian Domingo, Alberto Krone-Martins, Pierre Baldi, Cristina V. Lopes

机构 * School of Information and Computer Sciences University of California, Irvine（信息与计算机科学学院 加州大学伊维奇分校） 纠错

Comments Accepted at ACL 2025 L2M2 Workshop

IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction

Kaiyu He, Mian Zhang, Shuo Yan, Peilin Wu, Zhiyu Zoey Chen

机构 * Department of Computer Science University of Texas at Dallas（计算机科学系德克萨斯大学达拉斯分校） 纠错

Comments Accepted to ACL 2025 Findings

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives

Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang

机构 * State Key Laboratory for Multimedia Information Processing, School of Computer Science, PKU-Anker LLM Lab, Peking University（信息处理国家重点实验室，计算机学院，PKU-Anker LLM实验室，北京大学） ； University of California, Los Angeles（加州大学洛杉矶分校） ； University of Washington（华盛顿大学） ； Georgia Institute of Technology（佐治亚理工学院） ； Nanyang Technological University（南洋理工大学） ； HKUST（香港科技大学） ； University of International Business and Economics（国际商务经济大学） 纠错

Comments ACL 2025

BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language Models

Patrick Haller, Jonas Golde, Alan Akbik

机构 * Humboldt-Universität zu Berlin（柏林洪堡大学） 纠错

Comments 7 pages, 7 figures and tables, Published in Proceedings of the BabyLM Challenge 2025

Journal ref In Proceedings of the 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning, CoNLL 2024, pages 82 to 94, Miami, FL, USA. Association for Computational Linguistics

Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation

Idriss Nguepi Nguefack, Mara Finkelstein, Toadoum Sari Sakayo

机构 * AIMS Senegal（塞内加尔AIMS） 纠错

Comments 8 pages, 1. figure

Journal ref ACL2025

Robust Preference Optimization via Dynamic Target Margins

Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang

Comments 18 pages, 6 figures, accepted to Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)