ACL

Robust Utility-Preserving Text Anonymization Based on Large Language Models

Tianyu Yang, Xiaodan Zhu, Iryna Gurevych

机构 * Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science and Hessian Center for AI (hessian.AI), Technical University of Darmstadt, Germany（德意志图林根人工智能中心（hessian.AI）、计算机科学系、图林根大学） ； Department of Electrical and Computer Engineering & Ingenuity Labs Research Institute, Queen’s University, Canada（皇后大学电气与计算机工程系及创新实验室研究所） 纠错

Comments Accepted by ACL'2025 Main Conference

An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling

Xuemei Tang, Jun Wang, Qi Su, Chu-ren Huang, Jinghang Gu

机构 * The Hong Kong Polytechnic University（香港理工大学） ； Department of Information Management, Peking University（北京大学信息管理系） ； School of Foreign Languages, Peking University（北京大学外语学院） 纠错

Comments 10 pages, 9 tables, 3 figures, Accepted by ACL 2025 (short paper)

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction

Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu`ang Li, Lijie Wen, Philip S. Yu

机构 * Tsinghua University（清华大学） ； Amazon（亚马逊） ； University of Illinois at Chicago（伊利诺伊大学香槟分校） 纠错

Comments In NAACL 2022 as a long paper. Code and data available at https://github.com/THU-BPM/HiURE

Journal ref Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data

Anton Changalidis, Aki Härmä

机构 * Department of Advanced Computing Sciences (DACS), Faculty of Science and Engineering, Maastricht University（先进计算科学系（DACS）、科学与工程学院、马斯特里赫特大学） 纠错

Comments This work has been accepted for publication at the First Workshop on Large Language Model Memorization (L2M2) at ACL 2025, Vienna, Austria

Unifying Streaming and Non-streaming Zipformer-based ASR

Bidisha Sharma, Karthik Pandia Durai, Shankar Venkatesan, Jeena J Prakash, Shashi Kumar, Malolan Chetlur, Andreas Stolcke

机构 * Uniphore ； Idiap Research Institute（Idiap研究机构） 纠错

Comments Accepted in ACL2025 Industry track

Digital Gatekeepers: Google's Role in Curating Hashtags and Subreddits

Amrit Poudel, Yifan Ding, Jurgen Pfeffer, Tim Weninger

Comments Accepted to ACL 2025 Main

Journal ref Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics 2025

Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent

Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong

机构 * Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China（中国人民大学北京校区人工智能学院） ； 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研究中心，教育部） ； Huawei Noah’s Ark Lab, China（华为诺亚方舟实验室） 纠错

Comments Accepted to Findings of ACL 2025

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs

Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian

Comments ACL25 findings

Chaining Event Spans for Temporal Relation Grounding

Jongho Kim, Dohyeon Lee, Minsoo Kim, Seung-won Hwang

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

Comments In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1689-1700

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation

Jongho Kim, Romain Storaï, Seung-won Hwang

机构 * Seoul National University（首尔国立大学） ； Interdisciplinary Program in Artificial Intelligence, Seoul National University（人工智能跨学科项目，首尔国立大学） 纠错

Comments EMNLP 2024 Findings (long)

Journal ref In Findings of the Association for Computational Linguistics, EMNLP 2024, pages 10513-10527

ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations

Brihi Joshi, Keyu He, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, Xiang Ren

机构 * University of Southern California（南加州大学） ； Stanford University（斯坦福大学） 纠错

Comments Findings of ACL 2025

MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios

Jinyang Huang, Xiachong Feng, Qiguang Chen, Hanjie Zhao, Zihui Cheng, Jiesong Bai, Jingxuan Zhou, Min Li, Libo Qin

机构 * School of Computer Science and Engineering, Central South University, China（中南大学计算机科学与工程学院） ； The University of Hong Kong（香港大学） ； Research Center for SCIR, Harbin Institute of Technology, Harbin, China（哈尔滨工业大学SCIR研究中心） ； School of Communication and Information Engineering, Shanghai University, China（上海大学通信与信息工程学院） 纠错

Comments ACL 2025 Findings

ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities

Zhaochen Hong, Haofei Yu, Jiaxuan You

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

Comments Accepted at ACL 2025 Main Conference

CAPTURE: Context-Aware Prompt Injection Testing and Robustness Enhancement

Gauri Kholkar, Ratinder Ahuja

机构 * First Author Affiliation（第一作者机构） ； Second Author Affiliation（第二作者机构） 纠错

Comments Accepted in ACL LLMSec Workshop 2025

GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents

Lingxiao Diao, Xinyue Xu, Wanxuan Sun, Cheng Yang, Zhuosheng Zhang

机构 * School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） ； Zhiyuan college, Shanghai Jiao Tong University（上海交通大学智远学院） ； ByteDance Inc（字节跳动公司） 纠错

Comments ACL 2025 Main Conference

SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling

Xin Zhang, Qiyu Wei, Yingjie Zhu, Linhai Zhang, Deyu Zhou, Sophia Ananiadou

机构 * The University of Manchester（曼彻斯特大学） ； Harbin Institute of Technology（哈尔滨工业大学） ； King’s College London（伦敦大学国王学院） ； Southeast University（东南大学） 纠错

Comments Accepted at ACL 2025

Rectifying Belief Space via Unlearning to Harness LLMs' Reasoning

Ayana Niwa, Masahiro Kaneko, Kentaro Inui

机构 * MBZUAI ； Tohoku University（东北大学） ； RIKEN（日本理化学研究所） 纠错

Comments Accepted at ACL2025 Findings (long)

PredictaBoard: Benchmarking LLM Score Predictability

Lorenzo Pacchiardi, Konstantinos Voudouris, Ben Slater, Fernando Martínez-Plumed, José Hernández-Orallo, Lexin Zhou, Wout Schellaert

机构 * Leverhulme Centre for the Future of Intelligence, University of Cambridge（未来智能中心，剑桥大学） ； Institute for Human-Centered AI, Helmholtz Zentrum Munich（人本人工智能研究所，慕尼黑赫尔姆霍尔茨中心） ； VRAIN, Universitat Politècnica de València（VRAIN，瓦伦西亚理工大学） 纠错

Comments Accepted at ACL Findings 2025

Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models

Jongho Kim, Seung-won Hwang

Comments ACL 2025 main (short)

PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension

Kun Ouyang, Yuanxin Liu, Shicheng Li, Yi Liu, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

机构 * State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（多媒体信息处理国家重点实验室，计算机学院，北京大学） ； WeChat AI, Tencent Inc., China（微信AI，腾讯公司，中国） 纠错

Comments This is the camera-ready version for ACL 2025

BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English

Dipankar Srirag, Aditya Joshi, Jordan Painter, Diptesh Kanojia

机构 * University of New South Wales（新南威尔士大学） ； Institute for People-Centered AI（以人为中心的人工智能研究所） ； University of Surrey（萨里大学） 纠错

Comments Findings of ACL: ACL 2025

Ensemble Watermarks for Large Language Models

Georg Niess, Roman Kern

机构 * Graz University of Technology（格拉茨技术大学） ； Know Center Research GmbH 纠错

Comments Accepted to ACL 2025 main conference. This article extends our earlier work arXiv:2405.08400 by introducing an ensemble of stylometric watermarking features and alternative experimental analysis. Code and data are available at http://github.com/CommodoreEU/ensemble-watermark

Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework

Esteban Garces Arias, Hannah Blocher, Julian Rodemann, Meimingwei Li, Christian Heumann, Matthias Aßenmacher

机构 * Department of Statistics, LMU Munich（统计学系，慕尼黑大学） ； Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心） 纠错

Comments Accepted at the $GEM^2$ Workshop (co-located with ACL 2025)

Geometric Signatures of Compositionality Across a Language Model's Lifetime

Jin Hwa Lee, Thomas Jiralerspong, Lei Yu, Yoshua Bengio, Emily Cheng

机构 * University College London（伦敦大学学院） ； Université de Montréal（蒙特利尔大学） ； Mila（Mila研究院） ； University of Toronto（多伦多大学） ； Universitat Pompeu Fabra（庞培法布拉大学） 纠错

Comments Published at ACL 2025

Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets

Harshit Joshi, Shicheng Liu, James Chen, Robert Weigle, Monica S. Lam

Comments Accepted at ACL 2025

Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora

Erik Derner, Sara Sansalvador de la Fuente, Yoan Gutiérrez, Paloma Moreda, Nuria Oliver

机构 * ELLIS Alicante, Spain（西班牙阿利坎特ELLIS研究所） ； University of Alicante, Spain（西班牙阿利坎特大学） 纠错

Comments Accepted for presentation at the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP) at ACL 2025

Mustango: Toward Controllable Text-to-Music Generation

Jan Melechovsky, Zixun Guo, Deepanway Ghosal, Navonil Majumder, Dorien Herremans, Soujanya Poria

Comments NAACL 2024

Journal ref Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) (Volume 1: Long Papers)

Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models

Seungcheol Park, Jeongin Bae, Beomseok Kwon, Minjun Kim, Byeongwook Kim, Se Jung Kwon, U Kang, Dongsoo Lee

机构 * Seoul National University（首尔国立大学） ； NAVER Cloud（NAVER云） 纠错

Comments ACL 2025 Main Track

A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment

Khalid N. Elmadani, Nizar Habash, Hanada Taha-Thomure

机构 * Computational Approaches to Modeling Language Lab, New York University Abu Dhabi（新纽约大学阿布扎赫实验室） ； Zai Arabic Language Research Centre, Zayed University（扎伊阿拉伯语言研究中心） 纠错

Comments Accepted at ACL 2025 Findings

K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean

Minkyeong Jeon, Hyemin Jeong, Yerang Kim, Jiyoung Kim, Jae Hyeon Cho, Byung-Jun Lee

Comments 9 pages, 3 figures, ACL 2025