ACL

MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework

Md Shahidul Salim, Lian Fu, Arav Adikesh Ramakrishnan, Zonghai Yao, Hong Yu

机构 * Center for Healthcare Organization and Implementation Research, VA Bedford Health Care（医疗组织与实施研究中心，VA贝德福德医疗中心） ； Miner School of Computer and Information Sciences, University of Massachusetts Lowell（矿物计算机与信息科学学院，马萨诸塞州立大学洛厄尔分校） ； Manning College of Information and Computer Sciences, University of Massachusetts Amherst（曼宁信息与计算机科学学院，马萨诸塞州立大学阿姆赫斯特分校） 纠错

Comments To appear in Findings of the Association for Computational Linguistics: EMNLP 2025

Emergent Abilities of Large Language Models under Continued Pretraining for Language Adaptation

Ahmed Elhady, Eneko Agirre, Mikel Artetxe

机构 * HiTZ Center, University of the Basque Country (UPV/EHU)（巴斯克大学希茨中心） 纠错

Comments Published as a Conference Paper at the main track of ACL 2025

KatFishNet: Detecting LLM-Generated Korean Text through Linguistic Feature Analysis

Shinwoo Park, Shubin Kim, Do-Kyung Kim, Yo-Sub Han

Comments ACL 2025

Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources

Joachim De Baer, A. Seza Doğruöz, Thomas Demeester, Chris Develder

Comments 12 pages. Accepted to the Fourth Workshop on Generation, Evaluation and Metrics (GEM^2) at ACL 2025. ACL Anthology version available at https://aclanthology.org/2025.gem-1.74

Journal ref Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM^2), pages 947-957, Vienna, Austria and virtual meeting, August 2025. Association for Computational Linguistics

METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling

Bingxuan Li, Yiwei Wang, Jiuxiang Gu, Kai-Wei Chang, Nanyun Peng

机构 * University of California, Los Angeles（加州大学洛杉矶分校） ； University of California, Merced（加州大学默塞德分校） ； Adobe Research（Adobe研究） 纠错

Comments ACL2025 Main

MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation

Zhipeng Bian, Jieming Zhu, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong

机构 * Shenzhen University（深圳大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） ； Zhejiang University（浙江大学） 纠错

Comments Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), ACL 2025. Official version: https://doi.org/10.18653/v1/2025.acl-industry.103

Journal ref Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) ACL 2025 1457-1465

JoPA:Explaining Large Language Model's Generation via Joint Prompt Attribution

Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin

机构 * Pennsylvania State University（宾夕法尼亚州立大学） 纠错

Comments Accepted to ACL 2025 (Main)

Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual Questions

Pu Jian, Donglei Yu, Wen Yang, Shuo Ren, Jiajun Zhang

Comments ACL2025 Main (SAC Highlight Award)

CoachMe: Decoding Sport Elements with a Reference-Based Coaching Instruction Generation Model

Wei-Hsin Yeh, Yu-An Su, Chih-Ning Chen, Yi-Hsueh Lin, Calvin Ku, Wen-Hsin Chiu, Min-Chun Hu, Lun-Wei Ku

机构 * Institute of Information Science, Academia Sinica（学术院信息研究所） ； National Tsing Hua University（国立清华大学） ； National Taiwan University（国立台湾大学） 纠错

Comments Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025. Official version: https://doi.org/10.18653/v1/2025.acl-long.1413

Journal ref Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers (2025) 29126-29151

TeXpert: A Multi-Level Benchmark for Evaluating LaTeX Code Generation by LLMs

Sahil Kale, Vijaykant Nadadur

机构 * Knowledgeverse AI（知识verse AI） 纠错

Comments Accepted to the SDProc Workshop @ ACL 2025

Journal ref Proceedings of the Fifth Workshop on Scholarly Document Processing (SDP 2025), pages 7-16, 2025

Monitoring Decoding: Mitigating Hallucination via Evaluating the Factuality of Partial Response during Generation

Yurui Chang, Bochuan Cao, Lu Lin

Comments Accepted to ACL 2025 (Findings)

LLM as a Broken Telephone: Iterative Generation Distorts Information

Amr Mohamed, Mingmeng Geng, Michalis Vazirgiannis, Guokan Shang

机构 * MBZUAI ； SISSA ； Ecole Polytechnique（巴黎政治学院） 纠错

Comments Accepted to ACL 2025, Main Conference

OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval

Wei Yang, Jingjing Fu, Rui Wang, Jinyu Wang, Lei Song, Jiang Bian

机构 * Microsoft Research Asia（微软亚洲研究院） 纠错

Comments Accepted to ACL 2025 Main Conference

JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse

Muyao Li, Zihao Wang, Kaichen He, Xiaojian Ma, Yitao Liang

机构 * Peking University（北京大学） ； BIGAI（大疆创新） 纠错

Comments Accepted by ACL 2025

Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors

Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, Shrikanth Narayanan

机构 * University of Southern California（南加州大学） ； National Technical University of Athens（雅典国立技术大学） 纠错

Comments 16 pages, 12 figures, 3 tables

Journal ref Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 5513-5528, Albuquerque, New Mexico, April 2025

Persistent Homology of Topic Networks for the Prediction of Reader Curiosity

Manuel D. S. Hopp, Vincent Labatut, Arthur Amalvy, Richard Dufour, Hannah Stone, Hayley Jach, Kou Murayama

机构 * Hector Research Institute of Education Sciences and Psychology University of Tübingen（教育科学与心理学赫克托研究机构 霍普大学） ； Laboratoire Informatique d’Avignon – LIA UPR 4128, Avignon Université（阿维尼翁信息学实验室 – LIA UPR 4128 阿维尼翁大学） ； Laboratoire des Sciences du Numérique de Nantes – LS2N UMR 6004, Nantes Université（南特数字科学实验室 – LS2N UMR 6004 南特大学） ； Emerald Publishing（Emerald出版社） ； Melbourne School of Psychological Sciences, The University of Melbourne（墨尔本心理学科学学院 墨尔本大学） 纠错

Comments Original paper with an improved and extended appendix

Journal ref 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Association for Computational Linguistics, Jul 2025, Vienna, France

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation

Qitao Qin, Yucong Luo, Yihang Lu, Zhibo Chu, Xiaoman Liu, Xianwei Meng

机构 * University of Science and Technology of China（中国科学技术大学） ； Hefei Institutes of Physical Science, Chinese Academy of Sciences（中国科学院合肥研究院） 纠错

Comments Accept by ACL 2025 findings

CritiQ: Mining Data Quality Criteria from Human Preferences

Honglin Guo, Kai Lv, Qipeng Guo, Tianyi Liang, Zhiheng Xi, Demin Song, Qiuyinzhe Zhang, Yu Sun, Kai Chen, Xipeng Qiu, Tao Gui

Comments to be published in ACL 2025, Code is available at https://github.com/KYLN24/CritiQ

Agentic LLMs for Question Answering over Tabular Data

Rishit Tyagi, Mohit Gupta, Rahul Bouri

Comments Accepted at ACL workshop SemEval 2025

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences

Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker, Niranjan Balasubramanian

Comments Accepted to ACL 2025 (Main)

Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts

Hanhua Hong, Chenghao Xiao, Yang Wang, Yiqi Liu, Wenge Rong, Chenghua Lin

机构 * The University of Manchester（曼彻斯特大学） ； Durham University（杜伦大学） ； Beihang University（北航大学） 纠错

Comments 11 pages, accepted by Transactions of the Association for Computational Linguistics (TACL)

Localizing Factual Inconsistencies in Attributable Text Generation

Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan

机构 * Bar-Ilan University（巴伊兰大学） ； UNC Chapel Hill（北卡罗来纳大学教堂山分校） ； Google Research（谷歌研究） 纠错

Comments Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2025. Authors pre-print

The Role of Exploration Modules in Small Language Models for Knowledge Graph Question Answering

Yi-Jie Cheng, Oscar Chew, Yun-Nung Chen

机构 * ASUS ； National Taiwan University（国立台湾大学） 纠错

Comments Extended from ACL 2025 SRW

RealHarm: A Collection of Real-World Language Model Application Failures

Pierre Le Jeune, Jiaen Liu, Luca Rossi, Matteo Dora

Journal ref ACL Proceedings of the The First Workshop on LLM Security (LLMSEC), pp. 87-100, 2025

When Large Language Models Meet Speech: A Survey on Integration Approaches

Zhengdong Yang, Shuichiro Shimizu, Yahan Yu, Chenhui Chu

机构 * Kyoto University（京都大学） 纠错

Comments Accepted at Findings of ACL 2025 (Long Paper)

Journal ref Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

MEMIT-Merge: Addressing MEMIT's Key-Value Conflicts in Same-Subject Batch Editing for LLMs

Zilu Dong, Xiangqing Shen, Rui Xia

机构 * School of Computer Science and Engineering, Nanjing University of Science and Technology, China（计算机科学与工程学院，南京理工大学） 纠错

Comments Accepted by ACL2025 findings

Understanding the Influence of Synthetic Data for Text Embedders

Jacob Mitchell Springer, Vaibhav Adlakha, Siva Reddy, Aditi Raghunathan, Marius Mosbach

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Mila – Quebec AI Institute, McGill University（蒙特利尔AI研究院，麦吉尔大学） ； Canada CIFAR AI Chair（加拿大CIFAR人工智能主席） 纠错

Comments ACL Findings 2025

Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation

Xin Yuan, Jie Guo, Weidong Qiu, Zheng Huang, Shujun Li

Comments Accepted and published by EMNLP 2023. Details can be found in https://aclanthology.org/2023.emnlp-main.259

Journal ref In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 4268-4280, Singapore. Association for Computational Linguistics

ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries

Kishan Maharaj, Vitobha Munigala, Srikanth G. Tamilselvam, Prince Kumar, Sayandeep Sen, Palani Kodeswaran, Abhijit Mishra, Pushpak Bhattacharyya

机构 * Indian Institute of Technology Bombay（印度理工学院班加罗尔分校） ； IBM Research India（IBM印度研究院） ； University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

Comments Accepted in ACL 2025 Main, 14 pages, 3 Figures, 5 Tables

REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space

Tomer Ashuach, Martin Tutek, Yonatan Belinkov

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

Comments ACL 2025 Findings, 24 pages, 4 figures