ACL 2025

4,141 papers

LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models

Zihan Zhou, Chong Li, Xinyi Chen, Shuo Wang, Yu Chao

Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning

Aswini Kumar Padhi, Anil Bandhakavi, Tanmoy Chakraborty

Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning

Zijian Shao, Jiancan Wu, Weijian Chen, Xiang Wang

Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions

Wan Ju Kang, Eunki Kim, Na Min An, Sangryul Kim, Haemin Choi

FOCUS: Evaluating Pre-trained Vision-Language Models on Underspecification Reasoning

Kankan Zhou, Eason Lai, Kyriakos Mouratidis, Jing Jiang

OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization

Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Hongming Zhang

InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating

Fuyu Wang, Jiangtong Li, Kun Zhu, changjun jiang

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts

Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li

Understanding Impact of Human Feedback via Influence Functions

Taywon Min, Haeone Lee, Yongchan Kwon, Kimin Lee

MMDEND: Dendrite-Inspired Multi-Branch Multi-Compartment Parallel Spiking Neuron for Sequence Modeling

Kexin Wang, Yuhong Chou, Di Shang, Shijie Mei, Jiahong Zhang

Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing

Peiming Guo, Meishan Zhang, Jianling Li, Min Zhang, Yue Zhang

Just a Scratch: Enhancing LLM Capabilities for Self-harm Detection through Intent Differentiation and Emoji Interpretation

Soumitra Ghosh, Gopendra Vikram Singh, Shambhavi, Sabarna Choudhury, Asif Ekbal

Data-Constrained Synthesis of Training Data for De-Identification

Thomas Vakili, Aron Henriksson, Hercules Dalianis

Recurrent Knowledge Identification and Fusion for Language Model Continual Learning

Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan SHI

A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability

Xinyu Hu, Mingqi Gao, Li Lin, Zhenghan Yu, Xiaojun Wan

Internal Value Alignment in Large Language Models through Controlled Value Vector Activation

Haoran Jin, Meng Li, Xiting Wang, Zhihao Xu, Minlie Huang

MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities

Savya Khosla, Aditi Tiwari, Kushal Kafle, Simon Jenni, Handong Zhao

Benchmarking Long-Context Language Models on Long Code Understanding

Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li

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

Harshit Joshi, Shicheng Liu, James Chen, Larsen Weigle, Monica Lam

Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation

Guofu Xie, Xiao Zhang, Ting Yao, Yunsheng Shi

Better Embeddings with Coupled Adam

Felix Stollenwerk, Tobias Stollenwerk

Odysseus Navigates the Sirens’ Song: Dynamic Focus Decoding for Factual and Diverse Open-Ended Text Generation

Wen Luo, Feifan Song, Wei Li, Guangyue Peng, Shaohang Wei

I0T: Embedding Standardization Method Towards Zero Modality Gap

Na Min An, Eunki Kim, James Thorne, Hyunjung Shim

SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment

Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

Shijie Wang, Wenqi Fan, Yue Feng, Lin Shanru, Xinyu Ma

What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices

Zhi Chen, Qiguang Chen, Libo Qin, Qipeng Guo, Haijun Lv

VideoVista-CulturalLingo: 360° Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension

Xinyu Chen, Yunxin Li, Haoyuan Shi, Baotian Hu, Wenhan Luo

Understanding the Dark Side of LLMs’ Intrinsic Self-Correction

Qingjie Zhang, Di Wang, Haoting Qian, Yiming Li, Tianwei Zhang

Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning

Joykirat Singh, Akshay Nambi, Vibhav Vineet

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Zijun Yao, Weijian Qi, Liangming Pan, Shulin Cao, Linmei Hu

CoAM: Corpus of All-Type Multiword Expressions

Yusuke Ide, Joshua Tanner, Adam Nohejl, Jacob Hoffman, Justin Vasselli

From Informal to Formal – Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs

Jialun Cao, Yaojie Lu, Meiziniu Li, Haoyang Ma, Haokun Li

Colloquial Singaporean English Style Transfer with Fine-Grained Explainable Control

Jinggui Liang, Dung Vo, Yap Hong Xian, Hai Leong Chieu, Kian Ming A. Chai

From Lists to Emojis: How Format Bias Affects Model Alignment

Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang

Is linguistically-motivated data augmentation worth it?

Ray Groshan, Michael Ginn, Alexis Palmer

Walk in Others’ Shoes with a Single Glance: Human-Centric Visual Grounding with Top-View Perspective Transformation

Yuqi Bu, Xin Wu, Zirui Zhao, Yi Cai, David Hsu

StitchLLM: Serving LLMs, One Block at a Time

Bodun Hu, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo

“Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM Quantization

Eldar Kurtic, Alexandre Noll Marques, Shubhra Pandit, Mark Kurtz, Dan Alistarh

Predicting Through Generation: Why Generation Is Better for Prediction

Md Kowsher, Nusrat Jahan Prottasha, Prakash Bhat, Chun-Nam Yu, Mojtaba Soltanalian

LPOI: Listwise Preference Optimization for Vision Language Models

Fatemeh Pesaran Zadeh, Yoojin Oh, Gunhee Kim

Automated Structured Radiology Report Generation

Jean-Benoit Delbrouck, Justin Xu, Johannes Moll, Alois Thomas, Zhihong Chen

QuASAR: A Question-Driven Structure-Aware Approach for Table-to-Text Generation

Weijie Liu, Yibin Zheng, Fang Kong

A Self-Denoising Model for Robust Few-Shot Relation Extraction

Liang Zhang, Yang Zhang, Ziyao Lu, Fandong Meng, Jie Zhou

Exploring Multimodal Relation Extraction of Hierarchical Tabular Data with Multi-task Learning

Xinyu Zhang, Aibo Song, Jingyi Qiu, Jiahui Jin, Tianbo Zhang

Generative Reward Modeling via Synthetic Criteria Preference Learning

xiaobo liang, Haoke Zhang, Juntao Li, Kehai Chen, Qiaoming Zhu

Do Language Models Understand Honorific Systems in Javanese?

Mohammad Rifqi Farhansyah, Iwan Darmawan, Adryan Kusumawardhana, Genta Indra Winata, Alham Fikri Aji

Exploring the Impact of Instruction-Tuning on LLM’s Susceptibility to Misinformation

Kyubeen Han, Junseo Jang, Hongjin Kim, Geunyeong Jeong, Harksoo Kim

Scaling Laws and Efficient Inference for Ternary Language Models

Tejas Vaidhya, Ayush Kaushal, Vineet Jain, Francis Couture-Harpin, Prashant Shishodia

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates

Md Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, Chen Chen, Mojtaba Soltanalian

Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection

Jiatao Li, Xiaojun Wan

Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation

Yuanyuan Lei, Ruihong Huang

Advancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss

Liang Zhang, Ziyao Lu, Fandong Meng, Hui Li, Jie Zhou

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation

Andong Chen, Yuchen Song, Kehai Chen, Xuefeng Bai, Muyun Yang

RATIONALYST: Pre-training Process-Supervision for Improving Reasoning

Dongwei Jiang, Guoxuan Wang, Yining Lu, Andrew Wang, Jingyu Zhang

InductionBench: LLMs Fail in the Simplest Complexity Class

Wenyue Hua, Tyler Wong, Fei Sun, Liangming Pan, Adam Jardine

CSTree-SRI: Introspection-Driven Cognitive Semantic Tree for Multi-Turn Question Answering over Extra-Long Contexts

Zhaowen Wang, Xiang Wei, Kangshao Du, Yiting Zhang, Libo Qin

BIG-Bench Extra Hard

Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging

Haobo Zhang, Jiayu Zhou

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit

Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming

Weiyang Guo, Jing Li, Wenya Wang, Yu Li, Daojing He

Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models

Rishabh Adiga, Besmira Nushi, Varun Chandrasekaran

Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates

Jaewoo Ahn, Heeseung Yun, Dayoon Ko, Gunhee Kim

RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection

Wenjun Hou, Yi Cheng, Kaishuai Xu, Heng Li, Yan Hu

Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation

Yuxuan Zhou, Margret Keuper, Mario Fritz

Mixtures of In-Context Learners

Giwon Hong, Emile van Krieken, Edoardo Ponti, Nikolay Malkin, Pasquale Minervini

OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction

Haonan Zhang, Run Luo, Xiong Liu, Yuchuan Wu, Ting-En Lin

Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors

Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang

DeAL: Decoding-time Alignment for Large Language Models

James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi-An Lai, Arshit Gupta

CEAES: Bidirectional Reinforcement Learning Optimization for Consistent and Explainable Essay Assessment

Xia Li, Wenjing Pan

Research Borderlands: Analysing Writing Across Research Cultures

Shaily Bhatt, Tal August, Maria Antoniak

Do LLMs Understand Dialogues? A Case Study on Dialogue Acts

Ayesha Qamar, Jonathan Tong, Ruihong Huang

LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning

Jin Jiang, Yuchen Yan, Yang Liu, Jianing Wang, Shuai Peng

Causal Graph based Event Reasoning using Semantic Relation Experts

Mahnaz Koupaee, Xueying Bai, Mudan Chen, Greg Durrett, Nathanael Chambers

QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation

Bang Nguyen, Tingting Du, Mengxia Yu, Lawrence Angrave, Meng Jiang

CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World

Zoya Volovikova, Gregory Gorbov, Petr Kuderov, Aleksandr Panov, Alexey Skrynnik

LLM Agents Making Agent Tools

Georg Wölflein, Dyke Ferber, Daniel Truhn, Ognjen Arandjelovic, Jakob Nikolas Kather

Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat

Roland Daynauth, Christopher Clarke, Krisztian Flautner, Lingjia Tang, Jason Mars

Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs

Xiulin Yang, Tatsuya Aoyama, Yuekun Yao, Ethan Wilcox

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences

Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker, Niranjan Balasubramanian

ChatBench: From Static Benchmarks to Human-AI Evaluation

Serina Chang, Ashton Anderson, Jake M. Hofman

HumT DumT: Measuring and controlling human-like language in LLMs

Myra Cheng, Sunny Yu, Dan Jurafsky

Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users

Antonia Karamolegkou, Malvina Nikandrou, Georgios Pantazopoulos, Danae Sánchez Villegas, Phillip Rust

Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systems

Myra Cheng, Su Lin Blodgett, Alicia DeVrio, Lisa Egede, Alexandra Olteanu

Do Language Models Have Semantics? On the Five Standard Positions

Anders Søgaard

AAD-LLM: Neural Attention-Driven Auditory Scene Understanding

Xilin Jiang, Sukru Samet Dindar, Vishal Choudhari, Stephan Bickel, Ashesh Mehta

Culture is Not Trivia: Sociocultural Theory for Cultural NLP

Naitian Zhou, David Bamman, Isaac L. Bleaman

Language Fusion for Parameter-Efficient Cross-lingual Transfer

Philipp Borchert, Ivan Vulić, Marie-Francine Moens, Jochen De Weerdt

Help Me Write a Story: Evaluating LLMs’ Ability to Generate Writing Feedback

Hannah Rashkin, Elizabeth Clark, Fantine Huot, Mirella Lapata

Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection

Chuyuan Li, Raymond Li, Thalia S. Field, Giuseppe Carenini

Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots

Sarah E. Finch, Ellie S. Paek, Ikseon Choi, Jinho D. Choi

Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach

Rochana Chaturvedi, Peyman Baghershahi, Sourav Medya, Barbara Di Eugenio

Writing Like the Best: Exemplar-Based Expository Text Generation

Yuxiang Liu, Kevin Chen-Chuan Chang

All That Glitters is Not Novel: Plagiarism in AI Generated Research

Tarun Gupta, Danish Pruthi

Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning

Mohit Raghavendra, Junmo Kang, Alan Ritter

CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs’ Cultural Knowledge Through Human-AI Red-Teaming

Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, Chan Young Park, Shuyue Stella Li

HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks

Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Daniel Egert, Ellie Evans

On Many-Shot In-Context Learning for Long-Context Evaluation

Kaijian Zou, Muhammad Khalifa, Lu Wang

Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks

Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty

Pre-Training Curriculum for Multi-Token Prediction in Language Models

Ansar Aynetdinov, Alan Akbik

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models

Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan