ACL

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation

Qinggang Zhang, Zhishang Xiang, Yilin Xiao, Le Wang, Junhui Li, Xinrun Wang, Jinsong Su

机构 * School of Informatics, Xiamen University（厦门大学信息学院） ； Institute of Artificial Intelligence, Xiamen University（厦门大学人工智能研究院） ； The Hong Kong Polytechnic University（香港理工大学） ； Migu Meland Co., Ltd（Migu Meland公司） ； Soochow University（苏州大学） ； Singapore Management University（新加坡管理大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） 纠错

Comments Accepted to ACL 2025

OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens

Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, YenSung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Cheng, Karen Farley, Sruthi Sreeram, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge

机构 * Allen Institute for AI（艾伦人工智能研究所） ； University of Washington（华盛顿大学） ； UC Berkeley（伯克利加州大学） ； Stanford University（斯坦福大学） 纠错

Comments ACL 2025 demo track

Bayesian Optimization for Controlled Image Editing via LLMs

Chengkun Cai, Haoliang Liu, Xu Zhao, Zhongyu Jiang, Tianfang Zhang, Zongkai Wu, John Lee, Jenq-Neng Hwang, Lei Li

机构 * University of Edinburgh（爱丁堡大学） ； University of Manchester（曼彻斯特大学） ； University of Washington（华盛顿大学） ； Tsinghua University（清华大学） ； Skai Intelligence（Skai智能科技） ； University of Copenhagen（哥本哈根大学） 纠错

Comments 8 figures, accept at ACL2025 Findings

ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding

Austin T. Wang, ZeMing Gong, Angel X. Chang

机构 * Simon Fraser University（西蒙弗雷泽大学） ； Alberta Machine Intelligence Institute (Amii)（阿尔伯塔人工智能研究所） 纠错

Comments 24 pages with 8 figures and 14 tables; updated for ACL 2025 camera-ready with additional discussion and figures

One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity

Sonia K. Murthy, Tomer Ullman, Jennifer Hu

机构 * School of Engineering and Applied Sciences, Harvard University（哈佛大学工程与应用科学学院） ； Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University（哈佛大学自然与人工智能研究学院） ； Department of Psychology, Harvard University（哈佛大学心理学系） 纠错

Comments 17 pages, 10 figures; updated with publishing information

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)

The Role of Deductive and Inductive Reasoning in Large Language Models

Chengkun Cai, Xu Zhao, Haoliang Liu, Zhongyu Jiang, Tianfang Zhang, Zongkai Wu, Jenq-Neng Hwang, Lei Li

机构 * University of Edinburgh（爱丁堡大学） ； University of Manchester（曼彻斯特大学） ； University of Washington（华盛顿大学） ； Tsinghua University（清华大学） ； Skai Intelligence（Skai智能科技） ； University of Copenhagen（哥本哈根大学） 纠错

Comments 4 figures, accept at ACL2025 Main

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation

Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang

机构 * The Ohio State University（俄亥俄州立大学） ； Imperial College London（伦敦帝国理工学院） ； The University of Hong Kong（香港大学） ； University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） 纠错

Comments ACL 2025

Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?

Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Ahmed Masry, Mizanur Rahman, Amran Bhuiyan, Mir Tafseer Nayeem, Shafiq Joty, Enamul Hoque, Jimmy Huang

机构 * York University（约克大学） ； University of Alberta（阿尔伯塔大学） ； Nanyang Technological University（南洋理工大学） ； Salesforce AI Research（Salesforce AI研究） 纠错

Comments Accepted at ACL 2025 Industry Track

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models

Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Wei Wang, Jianke Zhu

机构 * Zhejiang University（浙江大学） ； Ant Group（蚂蚁集团） ； University of Liverpool（利物浦大学） ； Cleveland Clinic Lerner Research Institution（克利夫兰诊所勒纳研究机构） ； Soochow University（苏州大学） 纠错

Comments Accepted by ACL 2025 main

CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate

Yiliu Sun, Zicheng Zhao, Sheng Wan, Chen Gong

机构 * School of Computer Science and Engineering, Nanjing University of Science and Technology（南京理工大学计算机科学与工程学院） ； College of Artificial Intelligence, Nanjing Agricultural University（南京农业大学人工智能学院） ； School of Automation and Intelligent Sensing, Shanghai Jiao Tong University（上海交通大学自动化与智能感知学院） 纠错

Comments Accepted by ACL 2025

Disentangling the Roles of Representation and Selection in Data Pruning

Yupei Du, Yingjin Song, Hugh Mee Wong, Daniil Ignatev, Albert Gatt, Dong Nguyen

Comments ACL 2025

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs

Chenxu Wang, Yilin Lyu, Zicheng Sun, Liping Jing

机构 * Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence（北京交通大数据挖掘与具身智能重点实验室） ； School of Computer Science and Technology, Beijing Jiaotong University（北京交通大学计算机科学与技术学院） ； State Key Laboratory of Advanced Rail Autonomous Operation（先进轨道交通自主运行国家重点实验室） 纠错

Comments 15 pages, 6 figures, accepted by ACL 2025 main

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering

Yichen Li, Zhiting Fan, Ruizhe Chen, Xiaotang Gai, Luqi Gong, Yan Zhang, Zuozhu Liu

机构 * Zhejiang University（浙江大学） ； Zhejiang Key Laboratory of Medical Imaging Artificial Intelligence（浙江省医学影像人工智能重点实验室） ； Zhejiang Lab（浙江实验室） ； ByteDance（字节跳动） 纠错

Comments ACL 2025

Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions

Yubo Li, Yidi Miao, Xueying Ding, Ramayya Krishnan, Rema Padman

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments 8 pages, 5 figures

Journal ref Published at ACL 2025

Construction Identification and Disambiguation Using BERT: A Case Study of NPN

Wesley Scivetti, Nathan Schneider

机构 * Georgetown University（乔治城大学） 纠错

Comments 9 pages, ACL long-paper format. Camera-ready version, published at the 29th Conference on Computational Natural Language Learning (CoNLL 2025)

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation

Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho

机构 * School of Computing Science, University of Glasgow（计算科学学院，格拉斯哥大学） 纠错

Comments Accepted by BioNLP@ACL 2024

Journal ref Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, ACL 2024, pp. 624-634

A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens

Zhijie Nie, Richong Zhang, Zhanyu Wu

机构 * CCSE, School of Computer Science and Engineering, Beihang University, Beijing, China（计算机科学与工程学院，北京航空航天大学） ； Zhongguancun Laboratory, Beijing, China（中关村实验室） ； Shen Yuan Honors College, Beihang University, Beijing, China（神元荣誉学院，北京航空航天大学） 纠错

Comments ACL2025 Oral

Multi-Hop Reasoning for Question Answering with Hyperbolic Representations

Simon Welz, Lucie Flek, Akbar Karimi

机构 * Bonn-Aachen International Center for Information Technology, University of Bonn（波恩-亚琛国际信息科技中心，波恩大学） ； Lamarr Institute for ML and AI（拉马尔人工智能与机器学习研究所） 纠错

Comments ACL 2025 Findings

Generating Synthetic Relational Tabular Data via Structural Causal Models

Frederik Hoppe, Astrid Franz, Lars Kleinemeier, Udo Göbel

机构 * CONTACT Software GmbH（CONTACT软件公司） 纠错

Comments Accepted to Table Representation Learning Workshop at ACL 2025

Making Sense of Korean Sentences: A Comprehensive Evaluation of LLMs through KoSEnd Dataset

Seunguk Yu, Kyeonghyun Kim, Jungmin Yun, Youngbin Kim

机构 * Chung-Ang University（Chung-Ang 大学） 纠错

Comments ACL 2025 student research workshop

ReviewInstruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models

Jiangxu Wu, Cong Wang, TianHuang Su, Jun Yang, Haozhi Lin, Chao Zhang, Ming Peng, Kai Shi, SongPan Yang, BinQing Pan, ZiXian Li, Ni Yang, ZhenYu Yang

Comments ACL2025 Accepted

Tokenization is Sensitive to Language Variation

Anna Wegmann, Dong Nguyen, David Jurgens

机构 * Utrecht University（乌特勒支大学） ； University of Michigan（密歇根大学） 纠错

Comments Accepted to ACL 2025 Findings

Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models

Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi Kumar, Setayesh Radkani, Thomas H. Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian Paulun, Maria Ryskina, Ekin Akyürek, Ethan Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua Tenenbaum, Jacob Andreas

机构 * Georgia Tech（佐治亚理工学院） ； Johns Hopkins University（约翰霍普金斯大学） ； UC Berkeley（加州大学伯克利分校） ； Brown University（布朗大学） ； Vector Institute（向量研究所） ； MIT-IBM Watson AI（MIT-IBM沃森人工智能实验室） ； MIT（麻省理工学院） ； Georgetown University（乔治城大学） 纠错

Comments Accepted to Transactions of the ACL (TACL). Contains 25 pages (14 main), 6 figures. Visit http://ewok-core.github.io for data and code. Authors Anna Ivanova, Aalok Sathe, Benjamin Lipkin contributed equally

Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models

Christian Jaumann, Annemarie Friedrich, Rainer Lienhart

机构 * University of Augsburg（奥格斯堡大学） 纠错

Comments Accepted at 5th Workshop on Scholarly Document Processing @ ACL 2025

Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs

Yuchen Fu, Zifeng Cheng, Zhiwei Jiang, Zhonghui Wang, Yafeng Yin, Zhengliang Li, Qing Gu

机构 * State Key Laboratory for Novel Software Technology（新型软件技术国家重点实验室） 纠错

Comments Accept to ACL 2025 (Oral). Code are available on https://github.com/fuyuchenIfyw/token_prepending.git

Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning

Shuzheng Si, Helan Hu, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang

机构 * National Key Laboratory for Multimedia Information Processing, Peking University（北京大学多媒体信息处理国家重点实验室） ； School of Software and Microelectronics, Peking University（北京大学软件与微电子学院） ； Tencent Inc.（腾讯公司） ； Jiangsu Collaborative Innovation Center for Language Ability, Jiangsu Normal University（江苏省语言能力协同创新中心，江苏师范大学） 纠错

Comments ACL 2024 (Findings)

DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning

Dohoon Kim, Donghun Kang, Taesup Moon

机构 * Department of Electrical and Computer Engineering, Seoul National University（电子与计算机工程系，首尔国立大学） 纠错

Comments 22 pages, 5 figures, ACL 2025 Main

SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction

Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich, Karen Livescu, Alexander H. Liu

机构 * TTI-Chicago（TTI-芝加哥） ； MIT CSAIL 纠错

Comments Fixed Figure 1. ACL 2025

Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient

Yuan Gao, Zujing Liu, Weizhong Zhang, Bo Du, Gui-Song Xia

机构 * School of Computer Science, Wuhan University（武汉大学计算机学院） ； School of Artificial Intelligence, Wuhan University（武汉大学人工智能学院） ； School of Data Science, Fudan University（复旦大学数据科学学院） 纠错

Comments ACL2025 Main Accepted

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models

Chengao Li, Hanyu Zhang, Yunkun Xu, Hongyan Xue, Xiang Ao, Qing He

机构 * Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS)（智能信息处理重点实验室，计算技术研究所，中国科学院） ； State Key Lab of AI Safety（人工智能安全国家重点实验室） ； University of Chinese Academy of Sciences, CAS（中国科学院大学） ； Zhejiang University（浙江大学） 纠错

Comments 19 pages, 3 figures. Accepted by ACL 2025 (main)