ACL 2025

4,141 papers

A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression

Chenlong Deng, Zhisong Zhang, Kelong Mao, Shuaiyi Li, Xinting Huang

MorphMark: Flexible Adaptive Watermarking for Large Language Models

Zongqi Wang, Tianle Gu, Baoyuan Wu, Yujiu Yang

ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework

Hengyuan Zhang, Chenming Shang, Sizhe Wang, Dongdong Zhang, Yiyao Yu

from Benign import Toxic: Jailbreaking the Language Model via Adversarial Metaphors

Yu Yan, Sheng Sun, Zenghao Duan, Teli Liu, Min Liu

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models

Kuofeng Gao, Shu-Tao Xia, Ke Xu, Philip Torr, Jindong Gu

Discourse Relation-Enhanced Neural Coherence Modeling

Wei Liu, Michael Strube

Principled Understanding of Generalization for Generative Transformer Models in Arithmetic Reasoning Tasks

Xingcheng Xu, Zibo Zhao, Haipeng Zhang, Yanqing Yang

Multimodal Pragmatic Jailbreak on Text-to-image Models

Tong Liu, Zhixin Lai, Jiawen Wang, Gengyuan Zhang, Shuo Chen

Text is All You Need: LLM-enhanced Incremental Social Event Detection

Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu

AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting

Guo Tang, Zheng Chu, Wenxiang Zheng, Junjia Xiang, Yizhuo Li

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

Xun Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Hanyu Wang

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders

Boyi Deng, Yu Wan, Baosong Yang, Yidan Zhang, Fuli Feng

Sparse Latents Steer Retrieval-Augmented Generation

Chunlei Xin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Xuanang Chen

Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization

Chaoqun Cui, Liangbin Huang, Shijing Wang, Zhe Tong, Zhaolong Huang

ProtoLens: Advancing Prototype Learning for Fine-Grained Interpretability in Text Classification

Bowen Wei, Ziwei Zhu

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models

Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang

How Humans and LLMs Organize Conceptual Knowledge: Exploring Subordinate Categories in Italian

Andrea Pedrotti, Giulia Rambelli, Caterina Villani, Marianna Bolognesi

Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions

Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, Weiwen Xu, Deli Zhao

Sharper and Faster mean Better: Towards More Efficient Vision-Language Model for Hour-scale Long Video Understanding

Daoze Zhang, Yuze Zhao, Jintao Huang, Yingda Chen

SurveyPilot: an Agentic Framework for Automated Human Opinion Collection from Social Media

Viet Thanh Pham, Lizhen Qu, Zhuang Li, Suraj Sharma, Gholamreza Haffari

DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking

Zhuoqun Li, Haiyang Yu, Xuanang Chen, Hongyu Lin, Yaojie Lu

Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases

Rena Gao, Xuetong Wu, Tatsuki Kuribayashi, Mingrui Ye, Siya Qi

Game Development as Human-LLM Interaction

Jiale Hong, Hongqiu Wu, Hai Zhao

QAEncoder: Towards Aligned Representation Learning in Question Answering Systems

Zhengren Wang, Qinhan Yu, Shida Wei, Zhiyu Li, Feiyu Xiong

An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning

Wei Sun, Qianlong Du, Fuwei Cui, Jiajun Zhang

Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition

Guangcheng Zhu, Ruixuan Xiao, Haobo Wang, Zhen Zhu, Gengyu Lyu

Towards Text-Image Interleaved Retrieval

Xin Zhang, Ziqi Dai, Yongqi Li, Yanzhao Zhang, Dingkun Long

AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness

Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye

Dynamic and Generalizable Process Reward Modeling

Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu

BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering

Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Xiaofeng He

Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models

Xiaochen Zhu, Georgi Karadzhov, Chenxi Whitehouse, Andreas Vlachos

The Impact of Token Granularity on the Predictive Power of Language Model Surprisal

Byung-Doh Oh, William Schuler

AdaEdit: Advancing Continuous Knowledge Editing For Large Language Models

Qi Li, Xiaowen Chu

TokAlign: Efficient Vocabulary Adaptation via Token Alignment

Chong Li, Jiajun Zhang, Chengqing Zong

Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration

Shao Zhang, Xihuai Wang, Wenhao Zhang, Chaoran Li, Junru Song

Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models

Wei Li, Zhen Huang, Houqiang Li, Le Lu, Yang Lu

Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation

Kangcheng Luo, Quzhe Huang, Cong Jiang, Yansong Feng

Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs

Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin

Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books

Chen Zhang, Jiuheng Lin, Xiao Liu, Zekai Zhang, Yansong Feng

Meta-Reflection: A Feedback-Free Reflection Learning Framework

Yaoke Wang, Yun Zhu, Xintong Bao, Wenqiao Zhang, Suyang Dai

Past Meets Present: Creating Historical Analogy with Large Language Models

Nianqi Li, Siyu Yuan, Jiangjie Chen, Jiaqing Liang, Feng Wei

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism

Congzhi Zhang, Jiawei Peng, Zhenglin Wang, Yilong Lai, Haowen Sun

FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling

Weilin Zhao, Tengyu Pan, Xu Han, Yudi Zhang, Ao Sun

Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding

Lukas Kinder, Lukas Edman, Alexander Fraser, Tobias Käfer

Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings

Chenghao Sun, Zhen Huang, Yonggang Zhang, Le Lu, Houqiang Li

Conformity in Large Language Models

Xiaochen Zhu, Caiqi Zhang, Tom Stafford, Nigel Collier, Andreas Vlachos

Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning

Zhu Xu, Zhiqiang Zhao, Zihan Zhang, Yuchi Liu, Quanwei Shen

Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs

Yanzhu Guo, Simone Conia, Zelin Zhou, Min Li, Saloni Potdar

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis

Kejian Zhu, Shangqing Tu, Zhuoran jin, Lei Hou, Juanzi Li

Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs

Haritz Puerto, Tilek Chubakov, Xiaodan Zhu, Harish Tayyar Madabushi, Iryna Gurevych

Towards Better Evaluation for Generated Patent Claims

Lekang Jiang, Pascal A. Scherz, Stefan Goetz

UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench

Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang

Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles

Yuxi Xia, Pedro Henrique Luz de Araujo, Klim Zaporojets, Benjamin Roth

LongReward: Improving Long-context Large Language Models with AI Feedback

Jiajie Zhang, Zhongni Hou, Xin Lv, Shulin Cao, Zhenyu Hou

FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining

Guichao Zhu, Lintian Lei, Yuhao Qing, Yichao Fu, Fanxin Li

Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts

Youcheng Huang, Chen Huang, Duanyu Feng, Wenqiang Lei, Jiancheng Lv

Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues

Haiyang Wang, Zhiliang Tian, Yuchen Pan, XIN SONG, Xin Niu

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang

Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual Questions

Pu Jian, Donglei Yu, Wen Yang, Shuo Ren, Jiajun Zhang

Pre-training Distillation for Large Language Models: A Design Space Exploration

Hao Peng, Xin Lv, Yushi Bai, Zijun Yao, Jiajie Zhang

Progressive Multimodal Reasoning via Active Retrieval

Guanting Dong, Chenghao Zhang, Mengjie Deng, Yutao Zhu, Zhicheng Dou

RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation

Guanting Dong, Jiajie Jin, Xiaoxi Li, Yutao Zhu, Zhicheng Dou

TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding

Yuting Wei, Qi Meng, Yuanxing Xu, Bin Wu

Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations

Chaoyi Xiang, Chunhua Liu, Simon De Deyne, Lea Frermann

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation

Jiajie Jin, Xiaoxi Li, Guanting Dong, Yuyao Zhang, Yutao Zhu

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence

Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua

Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering

Zifeng Cheng, Zhonghui Wang, Yuchen Fu, Zhiwei Jiang, Yafeng Yin

Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation

Chuang Zhou, Zhu Wang, Shengyuan Chen, Jiahe Du, Qiyuan Zheng

SR-LLM: Rethinking the Structured Representation in Large Language Model

Jiahuan Zhang, Tianheng Wang, Hanqing Wu, Ziyi Huang, Yulong Wu

An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals

Yangyang Zhao, Ben Niu, Libo Qin, Shihan Wang

Detection of Human and Machine-Authored Fake News in Urdu

Muhammad Zain Ali, Yuxia Wang, Bernhard Pfahringer, Tony C Smith

Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above

Nishant Balepur, Rachel Rudinger, Jordan Lee Boyd-Graber

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas

Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, Shi Feng, Rachel Rudinger

Retrieve to Explain: Evidence-driven Predictions for Explainable Drug Target Identification

Ravi Patel, Angus Brayne, Rogier Hintzen, Daniel Jaroslawicz, Georgiana Neculae

Revisiting Common Assumptions about Arabic Dialects in NLP

Amr Keleg, Sharon Goldwater, Walid Magdy

LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews

Sukannya Purkayastha, Zhuang Li, Anne Lauscher, Lizhen Qu, Iryna Gurevych

Taming LLMs with Gradient Grouping

Siyuan Li, Juanxi Tian, Zedong Wang, Xin Jin, Zicheng Liu

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective

Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang

Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models

Olga Loginova, Oleksandr Bezrukov, Ravi Shekhar, Alexey Kravets

Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs

Rupak Sarkar, Neha Srikanth, Taylor Pellegrin, Rachel Rudinger, Claire Bonial

No Questions are Stupid, but some are Poorly Posed: Understanding Poorly-Posed Information-Seeking Questions

Neha Srikanth, Rachel Rudinger, Jordan Lee Boyd-Graber

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

Yuchen Fu, Zifeng Cheng, Zhiwei Jiang, Zhonghui Wang, Yafeng Yin

Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training

Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Jiahao Xu

A-TASC: Asian TED-Based Automatic Subtitling Corpus

Yuhan Zhou, Naoki Yoshinaga

Cultural Learning-Based Culture Adaptation of Language Models

Chen Cecilia Liu, Anna Korhonen, Iryna Gurevych

Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training

Yuanfan Li, Zhaohan Zhang, Chengzhengxu Li, Chao Shen, Xiaoming Liu

LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs

Jianghao Chen, Junhong Wu, Yangyifan Xu, Jiajun Zhang

Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework

Jundong Xu, Hao Fei, Meng Luo, Qian Liu, Liangming Pan

MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment

Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He

Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment

Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao

ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use

Junjie Ye, Zhengyin Du, Xuesong Yao, Weijian Lin, Yufei Xu

Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation

Boxuan Lyu, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura

DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation

Hanghui Guo, Jia Zhu, Shimin DI, Weijie Shi, Zhangze Chen

TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge

Cheng-Han Chiang, Hung-yi Lee, MICHAL LUKASIK

Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities

Jiahui Geng, Thy Thy Tran, Preslav Nakov, Iryna Gurevych

Ensemble Watermarks for Large Language Models

Georg Niess, Roman Kern

Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation

Dimitris Gkoumas, Maria Liakata

Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model

Gregor Geigle, Florian Schneider, Carolin Holtermann, Chris Biemann, Radu Timofte

HyperFM: Fact-Centric Multimodal Fusion for Link Prediction over Hyper-Relational Knowledge Graphs

Yuhuan Lu, Weijian Yu, Xin Jing, Dingqi Yang