NAACL 2025

1,927 papers

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning

Jeffrey Olmo, Jared Wilson, Max Forsey, Bryce Hepner, Thomas Vincent Howe

Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models

Srishti Yadav, Zhi Zhang, Daniel Hershcovich, Ekaterina Shutova

Aligning to What? Limits to RLHF Based Alignment

Logan Barnhart, Reza Akbarian Bafghi, Stephen Becker, Maziar Raissi

Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents

Shrinidhi Kumbhar, Venkatesh Mishra, Kevin Coutinho, Divij Handa, Ashif Iquebal

Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models

Zizhang Chen, Peizhao Li, Xiaomeng Dong, Pengyu Hong

Do Large Language Models Align with Core Mental Health Counseling Competencies?

Viet Cuong Nguyen, Mohammad Taher, Dongwan Hong, Vinicius Konkolics Possobom, Vibha Thirunellayi Gopalakrishnan

Rejected Dialects: Biases Against African American Language in Reward Models

Joel Mire, Zubin Trivadi Aysola, Daniel Chechelnitsky, Nicholas Deas, Chrysoula Zerva

How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation

Yan Meng, Di Wu, Christof Monz

MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering

Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu, Yang Feng, Jian Wu

AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora

Aleksandr Fedchin, Isabel Cooperman, Pramit Chaudhuri, Joseph P. Dexter

Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy

Tunazzina Islam, Dan Goldwasser

When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning

Leonardo Ranaldi, Barry Haddow, Alexandra Birch

SEEval: Advancing LLM Text Evaluation Efficiency and Accuracy through Self-Explanation Prompting

Meng-Chen Wu, Md Mosharaf Hossain, Tess Wood, Shayan Ali Akbar, Si-Chi Chin

GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models

Aditya Sharma, Aman Dalmia, Mehran Kazemi, Amal Zouaq, Christopher Pal

Inference Scaling for Bridging Retrieval and Augmented Generation

Youngwon Lee, Seung-won Hwang, Daniel F Campos, Filip Graliński, Zhewei Yao

A Survey to Recent Progress Towards Understanding In-Context Learning

Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Kristen Johnson

Personalize Your LLM: Fake it then Align it

Yijing Zhang, Dyah Adila, Changho Shin, Frederic Sala

Adaptive Parameter Compression for Language Models

Jeremias Bohn, Frederic Mrozinski, Georg Groh

UNLEARN Efficient Removal of Knowledge in Large Language Models

Tyler Lizzo, Larry Heck

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization

Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang

BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla

Fabiha Haider, Fariha Tanjim Shifat, Md Farhan Ishmam, MD Sakib Ul Rahman Sourove, Deeparghya Dutta Barua

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

João Matos, Shan Chen, Siena Kathleen V. Placino, Yingya Li, Juan Carlos Climent Pardo

An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them

Creston Brooks, Johannes Haubold, Charlie Cowen-Breen, Jay White, Desmond DeVaul

Exploring Large Language Models for Hate Speech Detection in Rioplatense Spanish

Juan Manuel Pérez, Paula Miguel, Viviana Cotik

NOTA: Multimodal Music Notation Understanding for Visual Large Language Model

Mingni Tang, Jiajia Li, Lu Yang, Zhiqiang Zhang, Jinhao Tian

“Women do not have heart attacks!” Gender Biases in Automatically Generated Clinical Cases in French

Fanny Ducel, Nicolas Hiebel, Olivier Ferret, Karën Fort, Aurélie Névéol

HEISIR: Hierarchical Expansion of Inverted Semantic Indexing for Training-free Retrieval of Conversational Data using LLMs

Sangyeop Kim, Hangyeul Lee, Yohan Lee

Flaming-hot Initiation with Regular Execution Sampling for Large Language Models

Weizhe Chen, Zhicheng Zhang, Guanlin Liu, Renjie Zheng, Wenlei Shi

Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents

Qiusi Zhan, Richard Fang, Henil Shalin Panchal, Daniel Kang

Augmented Adversarial Trigger Learning

Zhe Wang, Yanjun Qi

CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation

Xi Xu, Wenda Xu, Siqi Ouyang, Lei Li

TeCoFeS: Text Column Featurization using Semantic Analysis

Ananya Singha, Mukul Singh, Ashish Tiwari, Sumit Gulwani, Vu Le

An empirical study of validating synthetic data for formula generation

Usneek Singh, José Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry

Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting

Mohamed Salim Aissi, Clément Romac, Thomas Carta, Sylvain Lamprier, Pierre-yves Oudeyer

The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge

Lee Kezar, Nidhi Munikote, Zian Zeng, Zed Sehyr, Naomi Caselli

Tackling Social Bias against the Poor: a Dataset and a Taxonomy on Aporophobia

Georgina Curto, Svetlana Kiritchenko, Muhammad Hammad Fahim Siddiqui, Isar Nejadgholi, Kathleen C. Fraser

Media of Langue: Exploring Word Translation Network

Goki Muramoto, Atsuki Sato, Takayoshi Koyama

Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems

Đorđe Klisura, Anthony Rios

MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing

Vlad Andrei Negru, Robert Vacareanu, Camelia Lemnaru, Mihai Surdeanu, Rodica Potolea

Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation

Jiwon Jeong, Hyeju Jang, Hogun Park

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Xinglin Wang, Shaoxiong Feng, Yiwei Li, Peiwen Yuan, Yueqi Zhang

What can Large Language Models Capture about Code Functional Equivalence?

Nickil Maveli, Antonio Vergari, Shay B Cohen

Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias

Andres Algaba, Carmen Mazijn, Vincent Holst, Floriano Tori, Sylvia Wenmackers

BanNERD: A Benchmark Dataset and Context-Driven Approach for Bangla Named Entity Recognition

Md. Motahar Mahtab, Faisal Ahamed Khan, Md. Ekramul Islam, Md. Shahad Mahmud Chowdhury, Labib Imam Chowdhury

𝒮2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction

Bingfeng Chen, Chenjie Qiu, Yifeng Xie, Boyan Xu, Ruichu Cai

AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs

Jiawei Chen, Xiao Yang, Zhengwei Fang, Yu Tian, Yinpeng Dong

Guideline Compliance in Task-Oriented Dialogue: The Chained Prior Approach

Xiangyu Wen, Jianyuan Zhong, Zhijian Xu, Qiang Xu

Aligning Black-box Language Models with Human Judgments

Gerrit J.j. Van Den Burg, Gen Suzuki, Wei Liu, Murat Sensoy

On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems

Juraj Vladika, Florian Matthes

LOFT: Scalable and More Realistic Long-Context Evaluation

Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan

LLMs for Extremely Low-Resource Finno-Ugric Languages

Taido Purason, Hele-Andra Kuulmets, Mark Fishel

Beyond the Mode: Sequence-Level Distillation of Multilingual Translation Models for Low-Resource Language Pairs

Aarón Galiano-Jiménez, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena

Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation

Luca Moroni, Giovanni Puccetti, Pere-Lluís Huguet Cabot, Andrei Stefan Bejgu, Alessio Miaschi

VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning

Cuong Le Chi, Chau Truong Vinh Hoang, Phan Nhật Huy, Dung D. Le, Tien N Nguyen

kNN For Whisper And Its Effect On Bias And Speaker Adaptation

Maya K. Nachesa, Vlad Niculae

Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models

Weidi Luo, He CAO, Zijing Liu, Yu Wang, Aidan Wong

MMLF: Multi-query Multi-passage Late Fusion Retrieval

Yuan-Ching Kuo, Yi Yu, Chih-Ming Chen, Chuan-Ju Wang

Exploring Backward Reasoning in Large Language Models

Leonardo Ranaldi, Giulia Pucci

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction

Shengbin Yue, Ting Huang, Zheng Jia, Siyuan Wang, Shujun Liu

As easy as PIE: understanding when pruning causes language models to disagree

Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo, Christina Lioma

Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You In

Itay Nakash, George Kour, Guy Uziel, Ateret Anaby Tavor

Investigating the Zone of Proximal Development of Language Models for In-Context Learning

Peng Cui, Mrinmaya Sachan

Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis

Angelina Parfenova, Andreas Marfurt, Jürgen Pfeffer, Alexander Denzler

Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context

Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification

Yaswanth M, Vaibhav Singh, Ayush Maheshwari, Amrith Krishna, Ganesh Ramakrishnan

CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V

Siyu Xu, Yunke Wang, Daochang Liu, Bo Du, Chang Xu

SOLID: Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking Dialogs

Arian Askari, Roxana Petcu, Chuan Meng, Mohammad Aliannejadi, Amin Abolghasemi

DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking

Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia

Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference

Go Kamoda, Benjamin Heinzerling, Tatsuro Inaba, Keito Kudo, Keisuke Sakaguchi

Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models

Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran jin, Kang Liu

CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models

June M. Liu, He CAO, Renliang Sun, Rui Wang, Yu Li

Discrete Diffusion Language Model for Efficient Text Summarization

Do Huu Dat, Duc Anh Do, Anh Tuan Luu, Wray Buntine

MRE-MI: A Multi-image Dataset for Multimodal Relation Extraction in Social Media Posts

Shizhou Huang, Bo Xu, Changqun Li, Yang Yu, Xin Alex Lin

ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding

Israel Abebe Azime, Atnafu Lambebo Tonja, Tadesse Destaw Belay, Yonas Chanie, Bontu Fufa Balcha

Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models

Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Dinesh Khandelwal, Dinesh Raghu

Dynamic Feature Fusion for Sign Language Translation Using HyperNetworks

Ruiquan Zhang, Rui Zhao, Zhicong Wu, Liang Zhang, Haoqi Zhang

Modeling the Differential Prevalence of Online Supportive Interactions in Private Instant Messages of Adolescents

Ondřej Sotolář, Michał Tkaczyk, Jaromír Plhák, David Šmahel

Let Modalities Teach Each Other: Modal-Collaborative Knowledge Extraction and Fusion for Multimodal Knowledge Graph Completion

Guoliang Zhu, Tao Ren, Dandan Wang, Jun Hu

Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language

Zhiqiang Zhong, Simon Sataa-Yu Larsen, Haoyu Guo, Tao Tang, Kuangyu Zhou

M-IFEval: Multilingual Instruction-Following Evaluation

Antoine Dussolle, Andrea Cardeña Díaz, Shota Sato, Peter Devine

From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models

Harsh Nishant Lalai, Aashish Anantha Ramakrishnan, Raj Sanjay Shah, Dongwon Lee

Learning to Search Effective Example Sequences for In-Context Learning

Xiang Gao, Ankita Sinha, Kamalika Das

SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia

Chaoqun Liu, Wenxuan Zhang, Jiahao Ying, Mahani Aljunied, Anh Tuan Luu

Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning

Jean Vassoyan, Nathanaël Beau, Roman Plaud

Adapting LLM Agents with Universal Communication Feedback

Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang

PLD+: Accelerating LLM Inference by Leveraging Language Model Artifacts

Shwetha Somasundaram, Anirudh Phukan, Apoorv Saxena

Can I Introduce My Boyfriend to My Grandmother? Evaluating Large Language Models Capabilities on Iranian Social Norm Classification

Hamidreza Saffari, Mohammadamin Shafiei, Donya Rooein, Francesco Pierri, Debora Nozza

Dynamic Strategy Planning for Efficient Question Answering with Large Language Models

Tanmay Parekh, Pradyot Prakash, Alexander Radovic, Akshay Shekher, Denis Savenkov

SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine

Xiaochen Wang, Junqing He, Liang Chen, Gholamreza Haffari, Yiru Wang

Time-aware ReAct Agent for Temporal Knowledge Graph Question Answering

Qianyi Hu, Xinhui Tu, Cong Guo, Shunping Zhang

Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey

Ruiyao Xu, Kaize Ding

Keep Guessing? When Considering Inference Scaling, Mind the Baselines

Gal Yona, Or Honovich, Omer Levy, Roee Aharoni

Long-Tail Crisis in Nearest Neighbor Language Models

Yuto Nishida, Makoto Morishita, Hiroyuki Deguchi, Hidetaka Kamigaito, Taro Watanabe

Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models

Hyeonseok Moon, Jaehyung Seo, Seungyoon Lee, Chanjun Park, Heuiseok Lim

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG

Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey

Ask Optimal Questions: Aligning Large Language Models with Retriever’s Preference in Conversation

Chanwoong Yoon, Gangwoo Kim, Byeongguk Jeon, Sungdong Kim, Yohan Jo

Causal Inference with Large Language Model: A Survey

Jing Ma

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning

Hyundong Justin Cho, Karishma Sharma, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Jonathan May

MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty

YongJin Yang, Haneul Yoo, Hwaran Lee

MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time

Mozhi Zhang, Pengyu Wang, Chenkun Tan, Mianqiu Huang, Dong Zhang