ACL 2025

4,141 papers

HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference

Ping Gong, Jiawei Yi, Shengnan Wang, Juncheng Zhang, Zewen Jin

Token-Budget-Aware LLM Reasoning

Tingxu Han, Zhenting Wang, Chunrong Fang, Shiyu Zhao, Shiqing Ma

Decomposed Opinion Summarization with Verified Aspect-Aware Modules

Miao Li, Jey Han Lau, Eduard Hovy, Mirella Lapata

ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning

Baohao Liao, Christian Herold, Seyyed Hadi Hashemi, Stefan Vasilev, Shahram Khadivi

Mixture-of-Personas Language Models for Population Simulation

Ngoc Bui, Hieu Trung Nguyen, Shantanu Kumar, Julian Theodore, Weikang Qiu

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph

Yibo Zhao, Jiapeng Zhu, Can Xu, Yao Liu, Xiang Li

KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model’s Reasoning Path Aggregation

Siyuan Fang, Kaijing Ma, Tianyu Zheng, Xeron Du, Ningxuan Lu

Reranking-based Generation for Unbiased Perspective Summarization

Narutatsu Ri, Nicholas Deas, Kathleen McKeown

When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback

Jane Pan, Ryan Shar, Jacob Pfau, Ameet Talwalkar, He He

Tool learning via Inference-time Scaling and Cycle Verifier

xiaobo liang, Wenjin Xie, Juntao Li, Wanfu Wang, Yibin Chen

MultiTEND: A Multilingual Benchmark for Natural Language to NoSQL Query Translation

Zhiqian Qin, Yuanfeng Song, Jinwei Lu, Yuanwei Song, Shuaimin Li

EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic Maintenance

Heejae Suh, Yejin Jeon, Deokhyung Kang, Taehee Park, Yejin Min

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection

San Kim, Jonghwi Kim, Yejin Jeon, Gary Lee

Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability

Riya Sawhney, Samrat Yadav, Indrajit Bhattacharya, Mausam

Entrospect: Information-Theoretic Self-Reflection Elicits Better Response Refinement of Small Language Models

Tianqiang Yan, Ziqiao Lin, Lin Zhang, Zhenglong Sun, Yuan Gao

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing

Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu

FineCite: A Novel Approach For Fine-Grained Citation Context Analysis

Lasse M. Jantsch, Dong-Jae Koh, Seonghwan Yoon, Jisu Lee, Anne Lauscher

Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models

Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang

“You are Beautiful, Body Image Stereotypes are Ugly!” BIStereo: A Benchmark to Measure Body Image Stereotypes in Language Models

Narjis Asad, Nihar Ranjan Sahoo, Rudra Murthy, Swaprava Nath, Pushpak Bhattacharyya

Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models

Mong Yuan Sim, Wei Emma Zhang, Xiang Dai, Biaoyan Fang

Automated main concept generation for narrative discourse assessment in aphasia

Ankita Gupta, Marisa Hudspeth, Polly Stokes, Jacquie Kurland, Brendan O’Connor

Stereotype or Personalization? User Identity Biases Chatbot Recommendations

Anjali Kantharuban, Jeremiah Milbauer, Maarten Sap, Emma Strubell, Graham Neubig

Semantics-aware prompting for translating NOtices To AirMen

Minal Nitin Dani, Aishwarya Maheswaran, Maunendra Sankar Desarkar

Compositional Syntactico-SemBanking for English as a Second or Foreign Language

Wenxi Li, Xihao Wang, Weiwei Sun

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation

Huimin Xu, Xin Mao, Feng-Lin Li, Xiaobao Wu, Wang Chen

Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks

Yanran Chen, Steffen Eger

Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning

Huimin Xu, Xin Mao, Feng-Lin Li, Xiaobao Wu, Wang Chen

Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences?

Yingjin Song, Yupei Du, Denis Paperno, Albert Gatt

LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Omkar Thawakar, Dinura Dissanayake, Ketan Pravin More, Ritesh Thawkar, Ahmed Heakl

Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs

Indira Sen, Marlene Lutz, Elisa Rogers, David Garcia, Markus Strohmaier

GUIDEX: Guided Synthetic Data Generation for Zero-Shot Information Extraction

Neil De La Fuente, Oscar Sainz, Iker García-Ferrero, Eneko Agirre

MOSAIC: Multiple Observers Spotting AI Content

Matthieu Dubois, François Yvon, Pablo Piantanida

COVER: Context-Driven Over-Refusal Verification in LLMs

Giovanni Sullutrone, Riccardo A. Vigliermo, Sonia Bergamaschi, Luca Sala

A rebuttal of two common deflationary stances against LLM cognition

Zak Hussain, Rui Mata, Dirk U. Wulff

Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models

Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang

Seeing What Tastes Good: Revisiting Multimodal Distributional Semantics in the Billion Parameter Era

Dan Oneata, Desmond Elliott, Stella Frank

Are LLMs Rational Investors? A Study on the Financial Bias in LLMs

Yuhang Zhou, Yuchen Ni, Zhiheng Xi, Zhangyue Yin, Yu He

Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition

Jingwang Huang, Jiang Zhong, Qin Lei, Jingpeng Gao, Yuming Yang

Removing Prompt-template Bias in Reinforcement Learning from Human Feedback

Chaojie Wang, Haonan Shi, Long Tian, Bo An, Shuicheng Yan

Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks?

Simeon Junker, Manar Ali, Larissa Koch, Sina Zarrieß, Hendrik Buschmeier

KaFT: Knowledge-aware Fine-tuning for Boosting LLMs’ Domain-specific Question-Answering Performance

Qihuang Zhong, Liang Ding, Xiantao Cai, Juhua Liu, Bo Du

Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning

Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou

RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs

Hongliang Li, Jiaxin Zhang, Wenhui Liao, Dezhi Peng, Kai Ding

JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning

Chang Gao, Wenxuan Zhang, Guizhen Chen, Wai Lam

MERIT: Multi-Agent Collaboration for Unsupervised Time Series Representation Learning

Shu Zhou, Yunyang Xuan, Yuxuan Ao, Xin Wang, Tao Fan

Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?

Chengwei Qin, Wenhan Xia, Tan Wang, Fangkai Jiao, Yuchen Hu

SceneGram: Conceptualizing and Describing Tangrams in Scene Context

Simeon Junker, Sina Zarrieß

iMOVE : Instance-Motion-Aware Video Understanding

Jiaze Li, Yaya Shi, Zongyang Ma, Haoran Xu, Yandong.bai Yandong.bai

STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework

Wenhao Liu, Zhenyi Lu, Xinyu Hu, Jerry Zhang, Dailin Li

PodAgent: A Comprehensive Framework for Podcast Generation

Yujia Xiao, Lei He, Haohan Guo, Feng-Long Xie, Tan Lee

Structured Pruning for Diverse Best-of-N Reasoning Optimization

Hieu Trung Nguyen, Bao Nguyen, Viet Anh Nguyen

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience

Jiawei Gu, Ziting Xian, Yuanzhen Xie, Ye Liu, Enjie Liu

DIESEL: A Lightweight Inference-Time Safety Enhancement for Language Models

Ben Ganon, Alon Zolfi, Omer Hofman, Inderjeet Singh, Hisashi Kojima

Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities?

Jiahe Jin, Yanheng He, Mingyan Yang

Reflection on Knowledge Graph for Large Language Models Reasoning

Yigeng Zhou, Wu Li, Yifan Lu, Jing Li, Fangming Liu

Dense Retrieval with Quantity Comparison Intent

Prayas Agrawal, Nandeesh Kumar K M, Muthusamy Chelliah, Surender Kumar, Soumen Chakrabarti

WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data

Xinyang Lu, Jingtan Wang, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo

Understand the Implication: Learning to Think for Pragmatic Understanding

Settaluri Lakshmi Sravanthi, Kishan Maharaj, Sravani Gunnu, Abhijit Mishra, Pushpak Bhattacharyya

Learning to Insert [PAUSE] Tokens for Better Reasoning

Eunki Kim, Sangryul Kim, James Thorne

USDC: A Dataset of ̲User ̲Stance and ̲Dogmatism in Long ̲Conversations

Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek

Dialect Normalization using Large Language Models and Morphological Rules

Antonios Dimakis, John Pavlopoulos, Antonios Anastasopoulos

HG-InsightLog: Context Prioritization and Reduction for Question Answering with Non-Natural Language Construct Log Data

Supriya Bajpai, Athira Gopal, Chandrakant Harjpal, Niraj Kumar

Improving MLLM’s Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency

Yupu Liang, Yaping Zhang, Zhiyang Zhang, Zhiyuan Chen, Yang Zhao

Unveiling and Addressing Pseudo Forgetting in Large Language Models

Huashan Sun, Yizhe Yang, Yinghao Li, Jiawei Li, Yang Gao

Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts

Sara Ghaboura, Ketan Pravin More, Ritesh Thawkar, Wafa Al Ghallabi, Omkar Thawakar

REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?

Chuxuan Hu, Liyun Zhang, Yeji Lim, Aum Wadhwani, Austin Peters

FREE: Fast and Robust Vision Language Models with Early Exits

Divya Jyoti Bajpai, Manjesh Kumar Hanawal

YinYang-Align: A new Benchmark for Competing Objectives and Introducing Multi-Objective Preference based Text-to-Image Alignment

Amitava Das, Yaswanth Narsupalli, Gurpreet Singh, Vinija Jain, Vasu Sharma

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

Junlong Tong, Jinlan Fu, Zixuan Lin, Yingqi Fan, Anhao Zhao

Task Facet Learning: A Structured Approach To Prompt Optimization

Gurusha Juneja, Gautam Jajoo, Hua Li, Jian Jiao, Nagarajan Natarajan

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs

Avinash Baidya, Kamalika Das, Xiang Gao

Behavioral Analysis of Information Salience in Large Language Models

Jan Trienes, Jörg Schlötterer, Junyi Jessy Li, Christin Seifert

Un-considering Contextual Information: Assessing LLMs’ Understanding of Indexical Elements

Metehan Oğuz, Yavuz Faruk Bakman, Duygu Nur Yaldiz

Enhance Multimodal Consistency and Coherence for Text-Image Plan Generation

Xiaoxin Lu, Ranran Haoran Zhang, Yusen Zhang, Rui Zhang

Pruning General Large Language Models into Customized Expert Models

Yiran Zhao, Guizhen Chen, Kenji Kawaguchi, Lidong Bing, Wenxuan Zhang

LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation

Fei Yuan, Yinquan Lu, Lei Li, Jingjing Xu

The Law of Knowledge Overshadowing: Towards Understanding, Predicting and Preventing LLM Hallucination

Yuji Zhang, Sha Li, Cheng Qian, Jiateng Liu, Pengfei Yu

ETRQA: A Comprehensive Benchmark for Evaluating Event Temporal Reasoning Abilities of Large Language Models

Sigang Luo, Yinan Liu, Dongying Lin, Yingying Zhai, Bin Wang

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities

Fengqing Jiang, Zhangchen Xu, Yuetai Li, Luyao Niu, Zhen Xiang

Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs

Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement

Xiaoqing Zhang, Yuhan Liu, Flood Sung, Xiuying Chen, Shuo Shang

DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios

Zeyu Gao, Yuxin Cui, Hao Wang, Siliang Qin, Yuanda Wang

Diversification Catalyzes Language Models’ Instruction Generalization To Unseen Semantics

Dylan Zhang, Justin Wang, Francois Charton

AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation

Ming Wang, Peidong Wang, Lin Wu, Xiaocui Yang, Daling Wang

M2PA: A Multi-Memory Planning Agent for Open Worlds Inspired by Cognitive Theory

Yanfang Zhou, Xiaodong Li, Yuntao Liu, Yongqiang Zhao, Xintong Wang

Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models

Hanin Atwany, Abdul Waheed, Rita Singh, Monojit Choudhury, Bhiksha Raj

LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models

Xinxin Li, Huiyao Chen, Chengjun Liu, Jing Li, Meishan Zhang

Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective

Yipeng Kang, Junqi Wang, Yexin Li, Mengmeng Wang, Wenming Tu

On the Robust Approximation of ASR Metrics

Abdul Waheed, Hanin Atwany, Rita Singh, Bhiksha Raj

Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarcity

Dylan Zhang, Justin Wang, Tianran Sun

Dynamic Personality in LLM Agents: A Framework for Evolutionary Modeling and Behavioral Analysis in the Prisoner’s Dilemma

Weiqi Zeng, Bo Wang, Dongming Zhao, Zongfeng Qu, Ruifang He

Just KIDDIN’ : Knowledge Infusion and Distillation for Detection of INdecent Memes

Rahul Garg, Trilok Padhi, Hemang Jain, Ugur Kursuncu, Ponnurangam Kumaraguru

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Jianling Li, Shangzhan Li, Zhenye Gao, Qi SHI, Yuxuan Li

Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training

Yihang Yao, Zhepeng Cen, Miao Li, William Han, Yuyou Zhang

Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration

Xianbing Zhao, Yiqing Lyu, Di Wang, Buzhou Tang

UniT: One Document, Many Revisions, Too Many Edit Intention Taxonomies

Fangping Lan, Abdullah Aljebreen, Eduard Dragut

Evaluation of LLMs in Medical Text Summarization: The Role of Vocabulary Adaptation in High OOV Settings

Gunjan Balde, Soumyadeep Roy, Mainack Mondal, Niloy Ganguly

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

LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers

Shantanu Ghosh, Rayan Syed, Chenyu Wang, Vaibhav Choudhary, Binxu Li

TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation

Vihang Pancholi, Jainit Sushil Bafna, Tejas Anvekar, Manish Shrivastava, Vivek Gupta