ACL

Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization

Meng Li, Guangda Huzhang, Haibo Zhang, Xiting Wang, Anxiang Zeng

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院） ； LLM Team, Shopee Pte. Ltd.（Shopee Pte. Ltd. 语言模型团队） ； Beijing Key Laboratory of Research on Large Models and Intelligent Governance and Engineering Research Center of Next-Generation Intelligent Search and Recommendation, MOE（北京大型模型与智能治理研究重点实验室） 纠错

Comments 24 pages, 11 figures. Accepted by ACL 2025 (main)

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer

Guodong Du, Zitao Fang, Jing Li, Junlin Li, Runhua Jiang, Shuyang Yu, Yifei Guo, Yangneng Chen, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Honghai Liu, Min Zhang

机构 * Harbin Institute of Technology, Shenzhen, China（哈尔滨工业大学（深圳）） ； Xiamen University Malaysia（厦门大学马来西亚分校） 纠错

Comments Accepted by ACL2025 Main

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis

Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Bing Qin

机构 * Research Center for Social Computing and Interactive Robotics（社会计算与交互机器人研究中心） ； Harbin Institute of Technology（哈尔滨工业大学） 纠错

Comments Accepted by ACL 2025

A General Knowledge Injection Framework for ICD Coding

Xu Zhang, Kun Zhang, Wenxin Ma, Rongsheng Wang, Chenxu Wu, Yingtai Li, S. Kevin Zhou

机构 * School of Biomedical Engineering, Division of Life Sciences and Medicine, USTC（生物医学工程学院，生命科学与医学系，中国科学技术大学） ； MIRACLE Center, Suzhou Institute for Advance Research, USTC（MIRACLE中心，苏州先进研究院，中国科学技术大学） ； Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology（江苏省多模态数字孪生技术重点实验室） ； State Key Laboratory of Precision and Intelligent Chemistry, USTC（精密与智能化学国家重点实验室） 纠错

Comments ACL 2025 Findings

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models

Zixiang Xu, Yanbo Wang, Yue Huang, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang

机构 * MBZUAI ； University of Notre Dame（诺丁汉大学） ； University of Southern California（南加州大学） 纠错

Comments ACL 2025. Code available at https://github.com/xzx34/Cross-Lingual-Pitfalls

Climate-Eval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change

Murathan Kurfalı, Shorouq Zahra, Joakim Nivre, Gabriele Messori

机构 * RISE Research Institutes of Sweden（瑞典RISE研究机构） ； Uppsala University（乌普萨拉大学） ； Swedish Centre for Impacts of Climate Extremes (climes)（瑞典气候极端影响研究中心） 纠错

Comments Accepted to ClimateNLP 2025@ACL

Removal of Hallucination on Hallucination: Debate-Augmented RAG

Wentao Hu, Wengyu Zhang, Yiyang Jiang, Chen Jason Zhang, Xiaoyong Wei, Qing Li

Comments Accepted by ACL 2025

Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning

Yue Zhou, Barbara Di Eugenio

机构 * University of Illinois Chicago（伊利诺伊大学芝加哥分校） 纠错

Comments Accepted to ACL 2025 (Main)

Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps

Jie Ou, Jinyu Guo, Shuaihong Jiang, Zhaokun Wang, Libo Qin, Shunyu Yao, Wenhong Tian

机构 * School of Information and Software Engineering, University of Electronic Science and Technology of China（电子科技大学信息与软件工程学院） ； Central South University（中南大学） ； Big data and artificial intelligent institute, China Telecom Research Institute（中国电信大数据与人工智能研究院） 纠错

Comments Accepted at Findings of ACL 2025

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models

Rongguang Ye, Ming Tang

机构 * Department of Computer Science and Engineering and the Research Institute of Trustworthy Autonomous Systems（计算机科学与工程系和可信自主系统研究 institute） 纠错

Comments ACL Findings

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery

Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, Arman Cohan

机构 * TCS Research（TCS研究院） ； Yale University（耶鲁大学） 纠错

Comments ACL 2025 (System Demonstration Track)

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search

Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng, Hongyu Lin, Xianpei Han, Le Sun, Chaochao Lu

机构 * Shanghai AI Laboratory（上海人工智能实验室） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Jiao Tong University（上海交通大学） ； SenseTime（商汤科技） ； Institute of Software, Chinese Academy of Sciences（中国科学院软件研究所） ； Tongji University（同济大学） ； Hangzhou Institute for Advanced Study（杭州高等研究院） ； University of Chinese Academy of Sciences（中国科学院大学） 纠错

Comments Accepted to ACL 2025 Main. Project homepage: https://opencausalab.github.io/ARise

Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More

Arvid Frydenlund

机构 * University of Toronto（多伦多大学） ； Vector Institute（向量研究所） 纠错

Comments ACL 2025 Main. A camera-ready version will follow in a few weeks. A reduced version of this work was also accepted to the Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions (SCSL) at ICLR 2025

DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models

Ruizhe Chen, Wenhao Chai, Zhifei Yang, Xiaotian Zhang, Joey Tianyi Zhou, Tony Quek, Soujanya Poria, Zuozhu Liu

机构 * Zhejiang Key Laboratory of Medical Imaging Artificial Intelligence（浙江医学影像人工智能重点实验室） ； Zhejiang University（浙江大学） ； SUTD（新加坡科技设计大学） ； Princeton University（普林斯顿大学） ； Peking University（北京大学） ； Nanyang Technological University（南洋理工大学） ； A*STAR Centre for Frontier AI Research（A*STAR前沿人工智能研究中心） 纠错

Comments ACL 2025

TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding

Max Ku, Thomas Chong, Jonathan Leung, Krish Shah, Alvin Yu, Wenhu Chen

机构 * University of Waterloo（滑铁卢大学） ； Votee AI ； Vector Institute（向量研究所） 纠错

Comments accepted to ACL 2025 main, camera ready

Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs

Jungsoo Park, Junmo Kang, Gabriel Stanovsky, Alan Ritter

机构 * Georgia Institute of Technology（佐治亚理工学院） ； The Hebrew University of Jerusalem（特拉维夫大学） 纠错

Comments ACL 2025 main conference

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch

Xueru Wen, Jie Lou, Zichao Li, Yaojie Lu, Xing Yu, Yuqiu Ji, Guohai Xu, Hongyu Lin, Ben He, Xianpei Han, Le Sun, Debing Zhang

机构 * Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Sciences（中国科学院软件研究所信息处理实验室） ； University of Chinese Academy of Sciences（中国科学院大学） 纠错

Comments Accepted to ACL 2025

CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter

Yepeng Weng, Dianwen Mei, Huishi Qiu, Xujie Chen, Li Liu, Jiang Tian, Zhongchao Shi

机构 * AI Lab, Lenovo Research（联想研究院人工智能实验室） 纠错

Comments Accepted to ACL 2025 main conference

CER: Confidence Enhanced Reasoning in LLMs

Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah

机构 * Sharif University of Technology（谢里夫技术大学） 纠错

Comments Accepted at ACL 2025 Main Conference

Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding Tutors

Jian Wang, Yinpei Dai, Yichi Zhang, Ziqiao Ma, Wenjie Li, Joyce Chai

机构 * The Hong Kong Polytechnic University（香港理工大学） ； University of Michigan（密歇根大学） 纠错

Comments Accepted to Findings of ACL 2025

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements

Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang

机构 * Provable Responsible AI and Data Analytics (PRADA) Lab（可证责任AI与数据分析实验室） ； King Abdullah University of Science and Technology（卡瓦尔大学科学与技术大学） ； University of Toronto（多伦多大学） ； University of Macau（澳门大学） ； University of Electronic Science and Technology of China（电子科技大学） 纠错

Comments Accepted by ACL2025 Findings

Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?

Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

机构 * Tsinghua University（清华大学） ； Zhipu AI（智谱AI） ； The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； The Chinese University of Hong Kong（香港中文大学） ； University of Illinois at Chicago（伊利诺伊大学香槟分校） 纠错

Comments Accepted by ACL 2025 (Main)

SMART: Self-Aware Agent for Tool Overuse Mitigation

Cheng Qian, Emre Can Acikgoz, Hongru Wang, Xiusi Chen, Avirup Sil, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； IBM Research AI（IBM人工智能研究院） 纠错

Comments 18 pages, 11 tables, 7 figures, ACL 2025 Findings

HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning

Xiaoyuan Li, Moxin Li, Rui Men, Yichang Zhang, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu, Junyang Lin

机构 * University of Science and Technology of China（中国科学技术大学） ； Alibaba Group（阿里巴巴集团） ； National University of Singapore（新加坡国立大学） 纠错

Comments ACL 2025 Findings

QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language

Qingsong Zou, Jingyu Xiao, Qing Li, Zhi Yan, Yuhang Wang, Li Xu, Wenxuan Wang, Kuofeng Gao, Ruoyu Li, Yong Jiang

机构 * Tsinghua Shenzhen International Graduate School（清华大学深圳国际研究生院） ； Pengcheng Laboratory（鹏城实验室） ； The Chinese University of Hong Kong（香港中文大学） ； Jilin University（吉林大学） ； Southwest University（西南大学） ； University of Electronic Science and Technology of China（电子科技大学） ； Shenzhen University（深圳大学） 纠错

Comments To appear in ACL 2025

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence

Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Amazon Science（亚马逊科学） 纠错

Comments Accepted by ACL 2025. 21 pages, 5 figures, 13 tables

What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations

Dongqi Liu, Chenxi Whitehouse, Xi Yu, Louis Mahon, Rohit Saxena, Zheng Zhao, Yifu Qiu, Mirella Lapata, Vera Demberg

机构 * Saarland University（萨尔兰大学） ； Max Planck Institute for Informatics（马克斯·普朗克信息研究所） ； University of Cambridge（剑桥大学） ； University of Edinburgh（爱丁堡大学） 纠错

Comments ACL 2025 Main & Long Conference Paper

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering

Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun

机构 * Tsinghua University（清华大学） ； Peking University（北京大学） ； DeepLang AI 纠错

Comments ACL 2025

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation

Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, Dawei Yin

机构 * Baidu Inc.（百度公司） ； Shandong University（山东大学） ； Leiden University（莱顿大学） 纠错

Comments Accepted to ACL 2025

Domain Adaptation of Foundation LLMs for e-Commerce

Christian Herold, Michael Kozielski, Tala Bazazo, Pavel Petrushkov, Patrycja Cieplicka, Dominika Basaj, Yannick Versley, Seyyed Hadi Hashemi, Shahram Khadivi

机构 * eBay Inc.（eBay公司） 纠错

Comments Accepted at ACL25 (Industry )