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ACL 2025

4,141 papers

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs

Angelina Wang, Michelle Phan, Daniel E. Ho, Sanmi Koyejo

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling

Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang

BERT-like Models for Slavic Morpheme Segmentation

Dmitry Morozov, Lizaveta Astapenka, Anna Glazkova, Timur Garipov, Olga Lyashevskaya

Can Language Models Reason about Individualistic Human Values and Preferences?

Liwei Jiang, Taylor Sorensen, Sydney Levine, Yejin Choi

Identifying Reliable Evaluation Metrics for Scientific Text Revision

Leane Jourdan, Nicolas Hernandez, Florian Boudin, Richard Dufour

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

Max Ku, Cheuk Hei Chong, Jonathan Leung, Krish Shah, Alvin Yu

That is Unacceptable: the Moral Foundations of Canceling

Soda Marem Lo, Oscar Araque, Rajesh Sharma, Marco Antonio Stranisci

Biased LLMs can Influence Political Decision-Making

Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi

AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models

Yuhang Wu, Wenmeng Yu, Yean Cheng, Yan Wang, Xiaohan Zhang

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu

GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs

Maxim Zhelnin, Viktor Moskvoretskii, Egor Shvetsov, Maria Krylova, Venediktov Egor

Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search

Linhao Yu, Xingguang Ji, Yahui Liu, Fanheng Kong, Chenxi Sun

Learning to Rewrite: Generalized LLM-Generated Text Detection

Wei Hao, Ran Li, Weiliang Zhao, Junfeng Yang, Chengzhi Mao

Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?

Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei

Evaluating Language Models as Synthetic Data Generators

Seungone Kim, Juyoung Suk, Xiang Yue, Vijay Viswanathan, Seongyun Lee

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home

Viktor Moskvoretskii, Maria Marina, Mikhail Salnikov, Nikolay Ivanov, Sergey Pletenev

Towards a More Generalized Approach in Open Relation Extraction

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

Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks

Fangru Lin, Shaoguang Mao, Emanuele La Malfa, Valentin Hofmann, Adrian de Wynter

Efficiently Identifying Watermarked Segments in Mixed-Source Texts

Xuandong Zhao, Chenwen Liao, Yu-Xiang Wang, Lei Li

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis

Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo

AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation

Xiechi Zhang, Zetian Ouyang, Linlin Wang, Gerard de Melo, Zhu Cao

F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

Yushen Chen, Zhikang Niu, Ziyang Ma, Keqi Deng, Chunhui Wang

ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing

Xiuxuan Shen, Zhongyuan Jiang, Junsan Zhang, Junxiao Han, Yao Wan

NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering

Ruisheng Cao, Hanchong Zhang, Tiancheng Huang, Zhangyi Kang, Yuxin Zhang

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

Dongqi Liu, Chenxi Whitehouse, Xi Yu, Louis Mahon, Rohit Saxena

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs

Qing Li, Jiahui Geng, Zongxiong Chen, Derui Zhu, Yuxia Wang

CxGGEC: Construction-Guided Grammatical Error Correction

Yayu Cao, Tianxiang Wang, Lvxiaowei Xu, Zhenyao Wang, Ming Cai

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing

Dario Di Palma, Alessandro De Bellis, Giovanni Servedio, Vito Walter Anelli, Fedelucio Narducci

Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning

Zheyuan Liu, Suraj Maharjan, Fanyou Wu, Rahil Parikh, Belhassen Bayar

Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs

Giovanni Servedio, Alessandro De Bellis, Dario Di Palma, Vito Walter Anelli, Tommaso Di Noia

Beyond Position: the emergence of wavelet-like properties in Transformers

Valeria Ruscio, Umberto Nanni, Fabrizio Silvestri

Uncertainty Propagation on LLM Agent

Qiwei Zhao, Dong Li, Yanchi Liu, Wei Cheng, Yiyou Sun

CoT-Valve: Length-Compressible Chain-of-Thought Tuning

Xinyin Ma, Guangnian Wan, Runpeng Yu, Gongfan Fang, Xinchao Wang

ReLearn: Unlearning via Learning for Large Language Models

Haoming Xu, Ningyuan Zhao, Liming Yang, Sendong Zhao, Shumin Deng

Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models

Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan

What Makes a Good Natural Language Prompt?

Do Xuan Long, Duy Dinh, Ngoc-Hai Nguyen, Kenji Kawaguchi, Nancy F. Chen

Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu

Towards Effective and Efficient Continual Pre-training of Large Language Models

Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu

Enhancing Automated Interpretability with Output-Centric Feature Descriptions

Yoav Gur-Arieh, Roy Mayan, Chen Agassy, Atticus Geiger, Mor Geva

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA

Duzhen Zhang, Yong Ren, Zhong-Zhi Li, Yahan Yu, Jiahua Dong

Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling

Shihan Dou, Jiayi Chen, Chenhao Huang, Feng Chen, Wei Chengzhi

Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats

Kuleen Sasse, Carlos Alejandro Aguirre, Isabel Cachola, Sharon Levy, Mark Dredze

P2 Law: Scaling Law for Post-Training After Model Pruning

Xiaodong Chen, Yuxuan Hu, Xiaokang Zhang, Yanling Wang, Cuiping Li

Decoding Reading Goals from Eye Movements

Omer Shubi, Cfir Avraham Hadar, Yevgeni Berzak

ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability

Antonin Poché, Alon Jacovi, Agustin Martin Picard, Victor Boutin, Fanny Jourdan

OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis

Qiushi Sun, Kanzhi Cheng, Zichen Ding, Chuanyang Jin, Yian Wang

Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training

Shahrad Mohammadzadeh, Juan David Guerra, Marco Bonizzato, Reihaneh Rabbany, Golnoosh Farnadi

Self-Taught Agentic Long Context Understanding

Yufan Zhuang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Ze Wang

Enhancing Transformers for Generalizable First-Order Logical Entailment

Tianshi Zheng, Jiazheng Wang, Zihao Wang, Jiaxin Bai, Hang Yin

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models

Kyeonghyun Kim, Jinhee Jang, Juhwan Choi, Yoonji Lee, Kyohoon Jin

Your Model is Overconfident, and Other Lies We Tell Ourselves

Timothee Mickus, Aman Sinha, Raúl Vázquez

YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model

Hu Yiwen, Huatong Song, Jie Chen, Jia Deng, Jiapeng Wang

Pattern Recognition or Medical Knowledge? The Problem with Multiple-Choice Questions in Medicine

Maxime Griot, Jean Vanderdonckt, Demet Yuksel, Coralie Hemptinne

Geometric Signatures of Compositionality Across a Language Model’s Lifetime

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

SECRET: Semi-supervised Clinical Trial Document Similarity Search

Trisha Das, Afrah Shafquat, Mandis Beigi, Jacob Aptekar, Jimeng Sun

L-CiteEval: A Suite for Evaluating Fidelity of Long-context Models

Zecheng Tang, Keyan Zhou, Juntao Li, Baibei Ji, Jianye Hou

Learning to Reason from Feedback at Test-Time

Yanyang Li, Michael R. Lyu, Liwei Wang

Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model

Luhao Zhang, Xinyu Zhang, Linmei Hu, Dandan Song, Liqiang Nie

Mitigating Selection Bias with Node Pruning and Auxiliary Options

Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy

MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System

Jihao Zhao, Zhiyuan Ji, Zhaoxin Fan, Hanyu Wang, Simin Niu

Knowledge Boundary of Large Language Models: A Survey

Moxin Li, Yong Zhao, Wenxuan Zhang, Shuaiyi Li, Wenya Xie

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

Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu

Optimizing Decomposition for Optimal Claim Verification

Yining Lu, Noah Ziems, Hy Dang, Meng Jiang

Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge

Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu

Stepwise Reasoning Disruption Attack of LLMs

Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang

Quantification of Large Language Model Distillation

Sunbowen Lee, Junting Zhou, Chang Ao, Kaige Li, Xeron Du

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models

Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang

Learning to Generate Structured Output with Schema Reinforcement Learning

Yaxi Lu, Haolun Li, Xin Cong, Zhong Zhang, Yesai Wu