ACL 2025

4,141 papers

Neuron Empirical Gradient: Discovering and Quantifying Neurons’ Global Linear Controllability

Xin Zhao, Zehui Jiang, Naoki Yoshinaga

THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation

Yunlong Liang, Fandong Meng, Jie Zhou

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

Minkyeong Jeon, Hyemin Jeong, Yerang Kim, Jiyoung Kim, Jae Hyeon Cho

The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Qingshuang Bao, Weipeng Jiang

Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems

Haochun Wang, Sendong Zhao, Jingbo Wang, Zewen Qiang, Bing Qin

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

Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization

Meng Li, Guangda Huzhang, Haibo Zhang, Xiting Wang, Anxiang Zeng

Veracity Bias and Beyond: Uncovering LLMs’ Hidden Beliefs in Problem-Solving Reasoning

Yue Zhou, Barbara Di Eugenio

CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?

Aashish Anantha Ramakrishnan, Aadarsh Anantha Ramakrishnan, Dongwon Lee

On Generalization across Measurement Systems: LLMs Entail More Test-Time Compute for Underrepresented Cultures

Minh Duc Bui, Kyung Eun Park, Goran Glavaš, Fabian David Schmidt, Katharina von der Wense

Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL

Hanbing Liu, Haoyang Li, Xiaokang Zhang, Ruotong Chen, Haiyong Xu

KatFishNet: Detecting LLM-Generated Korean Text through Linguistic Feature Analysis

Shinwoo Park, Shubin Kim, Do-Kyung Kim, Yo-Sub Han

TESS 2: A Large-Scale Generalist Diffusion Language Model

Jaesung Tae, Hamish Ivison, Sachin Kumar, Arman Cohan

Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions

Joseph Suh, Erfan Jahanparast, Suhong Moon, Minwoo Kang, Serina Chang

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos

Tingyu Song, Tongyan Hu, Guo Gan, Yilun Zhao

Targeted Syntactic Evaluation for Grammatical Error Correction

Aomi Koyama, Masato Mita, Su-Youn Yoon, Yasufumi Takama, Mamoru Komachi

Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles

Kuang Wang, Xianfei Li, Shenghao Yang, Li Zhou, Feng Jiang

CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration

Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Phey Ling Kit

Structural Reasoning Improves Molecular Understanding of LLM

Yunhui Jang, Jaehyung Kim, Sungsoo Ahn

AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context

Naba Rizvi, Harper Strickland, Daniel Gitelman, Alexis Morales Flores, Tristan Cooper

Consistent Client Simulation for Motivational Interviewing-based Counseling

Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Nicholas Gabriel Lim

SYNTHIA: Novel Concept Design with Affordance Composition

Hyeonjeong Ha, Xiaomeng Jin, Jeonghwan Kim, Jiateng Liu, Zhenhailong Wang

(RSA)²: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding

Cesare Spinoso-Di Piano, David Eric Austin, Pablo Piantanida, Jackie CK Cheung

Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents

Xiaotian Liu, Ali Pesaranghader, Hanze Li, Punyaphat Sukcharoenchaikul, Jaehong Kim

Substance over Style: Evaluating Proactive Conversational Coaching Agents

Vidya Srinivas, Xuhai Xu, Xin Liu, Kumar Ayush, Isaac Galatzer-Levy

Navigating Rifts in Human-LLM Grounding: Study and Benchmark

Omar Shaikh, Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering

An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li

ConceptCarve: Dynamic Realization of Evidence

Eylon Caplan, Dan Goldwasser

Classifying Unreliable Narrators with Large Language Models

Anneliese Brei, Katharine Henry, Abhisheik Sharma, Shashank Srivastava, Snigdha Chaturvedi

Adversarial Tokenization

Renato Geh, Zilei Shao, Guy Van den Broeck

Using Shapley interactions to understand how models use structure

Divyansh Singhvi, Diganta Misra, Andrej Erkelens, Raghav Jain, Isabel Papadimitriou

On the Acquisition of Shared Grammatical Representations in Bilingual Language Models

Catherine Arnett, Tyler A. Chang, James A. Michaelov, Ben Bergen

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers

Zhijian Xu, Yilun Zhao, Manasi Patwardhan, Lovekesh Vig, Arman Cohan

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch

Multi-Attribute Steering of Language Models via Targeted Intervention

Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection

Yixian Shen, Qi Bi, Jia-Hong Huang, Hongyi Zhu, Andy D. Pimentel

Improved Unbiased Watermark for Large Language Models

Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

Partial Colexifications Improve Concept Embeddings

Arne Rubehn, Johann-Mattis List

Infogen: Generating Complex Statistical Infographics from Documents

Akash Ghosh, Aparna Garimella, Pritika Ramu, Sambaran Bandyopadhyay, Sriparna Saha

Enhancing Human Evaluation in Machine Translation with Comparative Judgement

Yixiao Song, Parker Riley, Daniel Deutsch, Markus Freitag

Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs

Eddie L. Ungless, Sunipa Dev, Cynthia L. Bennett, Rebecca Gulotta, Jasmijn Bastings

Deep Temporal Reasoning in Video Language Models: A Cross-Linguistic Evaluation of Action Duration and Completion through Perfect Times

Olga Loginova, Sofía Ortega Loguinova

BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data

Wenkai Li, Jiarui Liu, Andy Liu, Xuhui Zhou, Mona T. Diab

Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs

Jungsoo Park, Junmo Kang, Gabriel Stanovsky, Alan Ritter

Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback

Guan-Ting Lin, Prashanth Gurunath Shivakumar, Aditya Gourav, Yile Gu, Ankur Gandhe

Understanding Silent Data Corruption in LLM Training

Jeffrey Jian Ma, Hengzhi Pei, Leonard Lausen, George Karypis

Synergistic Weak-Strong Collaboration by Aligning Preferences

Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng

Interactive and Expressive Code-Augmented Planning with Large Language Models

Anthony Zhe Liu, Xinhe Wang, Jacob Sansom, Yao Fu, Jongwook Choi

Planning with Diffusion Models for Target-Oriented Dialogue Systems

Hanwen Du, Bo Peng, Xia Ning

Error-driven Data-efficient Large Multimodal Model Tuning

Barry Menglong Yao, Qifan Wang, Lifu Huang

Modeling Complex Semantics Relation with Contrastively Fine-Tuned Relational Encoders

Naïm Es-sebbani, Esteban Marquer, Zied Bouraoui

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs

Nicholas E. Corrado, Julian Katz-Samuels, Adithya M Devraj, Hyokun Yun, Chao Zhang

DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models

Niyati Bafna, Emily Chang, Nathaniel Romney Robinson, David R. Mortensen, Kenton Murray

Improving Language and Modality Transfer in Translation by Character-level Modeling

Ioannis Tsiamas, David Dale, Marta R. Costa-jussà

Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension

Amir Hossein Yari, Fajri Koto

V-Oracle: Making Progressive Reasoning in Deciphering Oracle Bones for You and Me

Runqi Qiao, Qiuna Tan, Guanting Dong, MinhuiWu MinhuiWu, Jiapeng Wang

What’s the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns

Michael A. Hedderich, Anyi Wang, Raoyuan Zhao, Florian Eichin, Jonas Fischer

Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality Prediction

Filip Miletić, Sabine Schulte im Walde

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Runqi Qiao, Qiuna Tan, Guanting Dong, MinhuiWu MinhuiWu, Chong Sun

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark

Jianlyu Chen, Nan Wang, Chaofan Li, Bo Wang, Shitao Xiao

Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering

Zhanghao Hu, Hanqi Yan, Qinglin Zhu, Zhenyi Shen, Yulan He

Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow

Behrooz Azarkhalili, Maxwell W. Libbrecht

AutoMixer: Checkpoint Artifacts as Automatic Data Mixers

Ernie Chang, Yang Li, Patrick Huber, Vish Vogeti, David Kant

Vulnerability of LLMs to Vertically Aligned Text Manipulations

Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Zhen Xiong

Integrating Audio, Visual, and Semantic Information for Enhanced Multimodal Speaker Diarization on Multi-party Conversation

Luyao Cheng, Hui Wang, Chong Deng, Siqi Zheng, Yafeng Chen

If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World

Adrian de Wynter

Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding

Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu

Steering off Course: Reliability Challenges in Steering Language Models

Patrick Queiroz Da Silva, Hari Sethuraman, Dheeraj Rajagopal, Hannaneh Hajishirzi, Sachin Kumar

DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal

Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, Zhijing Jin, Bernhard Schölkopf

AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation

Songming Zhang, Xue Zhang, Tong Zhang, Bojie Hu, Yufeng Chen

Text-to-ES Bench: A Comprehensive Benchmark for Converting Natural Language to Elasticsearch Query

Dongge Xue, Zhili Pu, Zhentao Xia, Hongli Sun, Ruihui Hou

Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts

Hongyu Chen, Seraphina Goldfarb-Tarrant

CU-MAM: Coherence-Driven Unified Macro-Structures for Argument Mining

Debela Gemechu, Chris Reed

A Reality Check on Context Utilisation for Retrieval-Augmented Generation

Lovisa Hagström, Sara Vera Marjanović, Haeun Yu, Arnav Arora, Christina Lioma

Adversarial Alignment with Anchor Dragging Drift (A3D2): Multimodal Domain Adaptation with Partially Shifted Modalities

Jun Sun, Xinxin Zhang, Simin Hong, Jian Zhu, Lingfang Zeng

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes

Felix Friedrich, Katharina Hämmerl, Patrick Schramowski, Manuel Brack, Jindřich Libovický

Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints

Junxiao Yang, Zhexin Zhang, Shiyao Cui, Hongning Wang, Minlie Huang

From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions

Nathanaël Carraz Rakotonirina, Mohammed Hamdy, Jon Ander Campos, Lucas Weber, Alberto Testoni

Dynamic Evaluation with Cognitive Reasoning for Multi-turn Safety of Large Language Models

Lanxue Zhang, Yanan Cao, Yuqiang Xie, Fang Fang, Yangxi Li

GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration

Yoo Yeon Sung, Eve Fleisig, Yu Hou, Ishan Upadhyay, Jordan Lee Boyd-Graber

ZIPA: A family of efficient models for multilingual phone recognition

Jian Zhu, Farhan Samir, Eleanor Chodroff, David R. Mortensen

nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow

Geliang Ouyang, Jingyao Chen, Zhihe Nie, Yi Gui, Yao Wan

IAM: Efficient Inference through Attention Mapping between Different-scale LLMs

Yi Zhao, Zuchao Li, Hai Zhao

PlanGenLLMs: A Modern Survey of LLM Planning Capabilities

Hui Wei, Zihao Zhang, Shenghua He, Tian Xia, Shijia Pan

LLMs can be easily Confused by Instructional Distractions

Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae

Déjà Vu? Decoding Repeated Reading from Eye Movements

Yoav Meiri, Omer Shubi, Cfir Avraham Hadar, Ariel Kreisberg Nitzav, Yevgeni Berzak

Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up

Jiahao Yuan, Dehui Du, Hao Zhang, Zixiang Di, Usman Naseem

IPO: Your Language Model is Secretly a Preference Classifier

Shivank Garg, Ayush Singh, Shweta Singh, Paras Chopra

Computation Mechanism Behind LLM Position Generalization

Chi Han, Heng Ji

DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression

Yi Zhao, Zuchao Li, Hai Zhao, Baoyuan Qi, Liu Guoming

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts

Yuchen Feng, Bowen Shen, Naibin Gu, Jiaxuan Zhao, Peng Fu

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment

Jean-philippe Corbeil, Amin Dada, Jean-michel Attendu, Asma Ben Abacha, Alessandro Sordoni

Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation

Xinyu Zhang, Linmei Hu, Luhao Zhang, Wentao Cheng, Yashen Wang

Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Yuri Kuratov, Mikhail Arkhipov, Aydar Bulatov, Mikhail Burtsev

Segment-Based Attention Masking for GPTs

Shahar Katz, Liran Ringel, Yaniv Romano, Lior Wolf

From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment

Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen

AgentRM: Enhancing Agent Generalization with Reward Modeling

Yu Xia, Jingru Fan, Weize Chen, Siyu Yan, Xin Cong

Tunable LLM-based Proactive Recommendation Agent

Mingze Wang, Chongming Gao, Wenjie Wang, Yangyang Li, Fuli Feng

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval

Zheng Liu, Ze Liu, Zhengyang Liang, Junjie Zhou, Shitao Xiao

PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings

Junseo Kim, Jongwook Han, Dongmin Choi, Jongwook Yoon, Eun-Ju Lee