ACL

Generating Diverse Training Samples for Relation Extraction with Large Language Models

Zexuan Li, Hongliang Dai, Piji Li

机构 * College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics（人工智能学院，南京航空航天大学） ； MIIT Key Laboratory of Pattern Analysis and Machine Intelligence（信息产业部模式分析与机器智能重点实验室） ； The Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education（脑机智能技术重点实验室，教育部） 纠错

Comments ACL2025 Main

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport

Yuu Jinnai

机构 * CyberAgent 纠错

Comments ACL 2025

AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models

Jinchuan Zhang, Lu Yin, Yan Zhou, Songlin Hu

Comments Submitted to ACL 2025

A Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphs

Chiwan Park, Wonjun Jang, Daeryong Kim, Aelim Ahn, Kichang Yang, Woosung Hwang, Jihyeon Roh, Hyerin Park, Hyosun Wang, Min Seok Kim, Jihoon Kang

机构 * Kakao 纠错

Comments Accepted to ACL 2025 Industry Track. 12 pages, 5 figures

NegVQA: Can Vision Language Models Understand Negation?

Yuhui Zhang, Yuchang Su, Yiming Liu, Serena Yeung-Levy

机构 * Stanford University（斯坦福大学） ； Tsinghua University（清华大学） 纠错

Comments Published at ACL 2025 Findings

Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates

Jaewoo Ahn, Heeseung Yun, Dayoon Ko, Gunhee Kim

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

Comments ACL 2025 Main. Code is released at https://vision.snu.ac.kr/projects/mac

Towards a More Generalized Approach in Open Relation Extraction

Qing Wang, Yuepei Li, Qiao Qiao, Kang Zhou, Qi Li

机构 * Department of Computer Science, Iowa State University（计算机科学系，爱荷华州立大学） 纠错

Comments Accepted by ACL 2025 Main Conference

Pre-Training Curriculum for Multi-Token Prediction in Language Models

Ansar Aynetdinov, Alan Akbik

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

Comments Accepted to ACL 2025 (Main)

MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning

Dacao Zhang, Kun Zhang, Shimao Chu, Le Wu, Xin Li, Si Wei

机构 * School of Computer Science and Information Engineering, Hefei University of Technology（合肥工业大学计算机科学与信息工程学院） ； School of Information Science and Technology, University of Science and Technology of China（中国科学技术大学信息科学与技术学院） ； Artificial Intelligence Research Institute, iFLYTEK Company Ltd.（iFLYTEK公司人工智能研究院） 纠错

Comments This paper has been accepted to ACL 2025 Findings

Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries

Ganlin Xu, Zhoujia Zhang, Wangyi Mei, Jiaqing Liang, Weijia Lu, Xiaodong Zhang, Zhifei Yang, Xiaofeng Ma, Yanghua Xiao, Deqing Yang

Comments Accepted by ACL 2025

Improving Continual Pre-training Through Seamless Data Packing

Ruicheng Yin, Xuan Gao, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang

机构 * School of Computer Science, Fudan University（复旦大学计算机学院） 纠错

Comments Accepted to ACL 2025 Findings

Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models

Injae Na, Keonwoong Noh, 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)

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models

Jihoon Lee, Min Song

机构 * Yonsei University（延世大学） ； Onoma AI 纠错

Comments ACL 2025 Findings camera-ready version. Code is released at https://github.com/JiHoonLee9898/RVCD

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study

Dongil Yang, Minjin Kim, Sunghwan Kim, Beong-woo Kwak, Minjun Park, Jinseok Hong, Woontack Woo, Jinyoung Yeo

机构 * Department of Artificial Intelligence, Yonsei University（人工智能系，延世大学） ； Graduate School of Metaverse, KAIST（元宇宙研究生院，韩国科学技术院） ； Graduate School of Culture Technology, KAIST（文化科技研究生院，韩国科学技术院） 纠错

Comments ACL 2025

LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding

Junlong Tong, Jinlan Fu, Zixuan Lin, Yingqi Fan, Anhao Zhao, Hui Su, Xiaoyu Shen

机构 * Shanghai Jiao Tong University（上海交通大学） ； Ningbo Key Laboratory of Spatial Intelligence and Digital Derivative（宁波空间智能与数字衍生关键实验室） ； Institute of Digital Twin, EIT（数字孪生研究所） ； National University of Singapore（新加坡国立大学） ； University of Science and Technology of China（中国科学技术大学） ； Meituan Inc.（美团公司） 纠错

Comments ACL 2025 Findings

YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering

Jennifer D'Souza, Hamed Babaei Giglou, Quentin Münch

机构 * TIB Leibniz Information Centre for Science and Technology（蒂宾根科学与技术信息中心） ； Leibniz Universität Hannover（汉诺威莱布尼茨大学） 纠错

Comments 9 pages, 4 figures, Accepted as a Long Paper at the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning

Hao Dong, Ziyue Qiao, Zhiyuan Ning, Qi Hao, Yi Du, Pengyang Wang, Yuanchun Zhou

Comments Accepted to ACL 2025 Findings

LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline

Biao Fu, Minpeng Liao, Kai Fan, Chengxi Li, Liang Zhang, Yidong Chen, Xiaodong Shi

Comments Camera ready version for ACL 2025 Findings

Agentic Knowledgeable Self-awareness

Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Comments ACL 2025

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model

Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu

机构 * School of Advanced Interdisciplinary Sciences, UCAS（UCAS先进交叉科学学院） ； MAIS, CASIA（CASIA人工智能研究所） ； School of Artificial Intelligence, UCAS（UCAS人工智能学院） ； Centre for Artificial Intelligence and Robotics, HKISI-CAS（HKISI-CAS人工智能与机器人中心） ； FKLPRIU, School of Computer and Information Engineering, Xiamen University of Technology（厦门理工学院计算机与信息工程学院） 纠错

Comments ACL 2025 (Main)

DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation

Wenhao Hu, Jinhao Duan, Chunchen Wei, Li Zhang, Yue Zhang, Kaidi Xu

机构 * University of Electronic Science and Technology of China（电子科学与技术大学） ； Drexel University（德雷塞尔大学） 纠错

Comments 18 pages, 13 figures. Accepted to the ACL 2025 Findings

Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference

Thanh Le-Cong, Bach Le, Toby Murray

机构 * School of Computing and Information Systems（计算与信息系统学院） ； The University of Melbourne（墨尔本大学） 纠错

Comments Accepted to ACL 2025 (Main Conference)

A Survey of Uncertainty Estimation Methods on Large Language Models

Zhiqiu Xia, Jinxuan Xu, Yuqian Zhang, Hang Liu

机构 * Rutgers, The State University of New Jersey（新泽西州立大学拉特格斯分校） 纠错

Comments ACL Findings 2025

Instruction-Tuning LLMs for Event Extraction with Annotation Guidelines

Saurabh Srivastava, Sweta Pati, Ziyu Yao

机构 * George Mason University（乔治·马歇尔大学） 纠错

Comments Accepted at ACL Findings 2025

Learning to Reason from Feedback at Test-Time

Yanyang Li, Michael Lyu, Liwei Wang

Comments ACL 2025 Main; Project Page: https://github.com/LaVi-Lab/FTTT

DReSD: Dense Retrieval for Speculative Decoding

Milan Gritta, Huiyin Xue, Gerasimos Lampouras

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室） ； University of Sheffield（谢菲尔德大学） 纠错

Comments ACL (Findings) 2025

SOTOPIA-$Ω$: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents

Wenyuan Zhang, Tianyun Liu, Mengxiao Song, Xiaodong Li, Tingwen Liu

Comments Accepted by ACL 2025 (Main Conference)

STeCa: Step-level Trajectory Calibration for LLM Agent Learning

Hanlin Wang, Jian Wang, Chak Tou Leong, Wenjie Li

Comments Accepted by ACL2025 Findings

GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning

Sifan Zhou, Shuo Wang, Zhihang Yuan, Mingjia Shi, Yuzhang Shang, Dawei Yang

Comments Accepted by Findings of ACL 2025

BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Jan Philip Wahle, Terry Ruas, Meriem Beloucif, Christine de Kock, Nirmal Surange, Daniela Teodorescu, Ibrahim Said Ahmad, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino D. M. A. Ali, Ilseyar Alimova, Vladimir Araujo, Nikolay Babakov, Naomi Baes, Ana-Maria Bucur, Andiswa Bukula, Guanqun Cao, Rodrigo Tufino Cardenas, Rendi Chevi, Chiamaka Ijeoma Chukwuneke, Alexandra Ciobotaru, Daryna Dementieva, Murja Sani Gadanya, Robert Geislinger, Bela Gipp, Oumaima Hourrane, Oana Ignat, Falalu Ibrahim Lawan, Rooweither Mabuya, Rahmad Mahendra, Vukosi Marivate, Alexander Panchenko, Andrew Piper, Charles Henrique Porto Ferreira, Vitaly Protasov, Samuel Rutunda, Manish Shrivastava, Aura Cristina Udrea, Lilian Diana Awuor Wanzare, Sophie Wu, Florian Valentin Wunderlich, Hanif Muhammad Zhafran, Tianhui Zhang, Yi Zhou, Saif M. Mohammad

机构 * Imperial College London（伦敦帝国学院） ； Bayero University Kano（卡诺大学） ； Cardiff University（卡迪夫大学） ； Data Science for Social Impact, University of Pretoria（社会影响数据科学，开普敦大学） ； University of Göttingen（哥廷根大学） ； Uppsala University（乌普萨拉大学） ； University of Melbourne（墨尔本大学） ； IIIT Hyderabad（海得拉巴印度理工学院） ； University of Alberta（阿尔伯塔大学） ； Northeastern University（东北大学） ； MILA（蒙特利尔人工智能实验室） ； McGill University（麦吉尔大学） ； Canada CIFAR AI Chair（加拿大CIFAR人工智能主席） ； MBZUAI（马斯喀特人工智能研究所） ； LIACC, FEUP, University of Porto（LIACC，FEUP，波尔图大学） ； Sailplane AI（Sailplane人工智能） ； University of Santiago de Compostela（圣地亚哥-德孔波斯特拉大学） ； University of Bucharest（布加勒斯特大学） ； Universitat Politècnica de València（瓦伦西亚理工大学） ； SADiLaR ； University of York（约克大学） ； Universidad Politécnica Salesiana（萨利纳斯理工大学） ； Lancaster University（兰卡斯特大学） ； Technical University of Munich（慕尼黑技术大学） ； Hamburg University（汉堡大学） ； Al Akhawayn University（阿尔阿赫瓦因大学） 纠错

Comments Accepted at ACL2025 (Main)