NAACL 2025

1,927 papers

THREAD: Thinking Deeper with Recursive Spawning

Philip Schroeder, Nathaniel W. Morgan, Hongyin Luo, James R. Glass

Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond

Mardhiyah Sanni, Tassallah Abdullahi, Devendra Deepak Kayande, Emmanuel Ayodele, Naome A Etori

IHEval: Evaluating Language Models on Following the Instruction Hierarchy

Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang

FedSpaLLM: Federated Pruning of Large Language Models

Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim

Understanding LLMs’ Fluid Intelligence Deficiency: An Analysis of the ARC Task

Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou

Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis

Pamela D Riviere, Anne L. Beatty-Martínez, Sean Trott

ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs

Aly M. Kassem, Omar Mahmoud, Niloofar Mireshghallah, Hyunwoo Kim, Yulia Tsvetkov

GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models

Harsh Kohli, Sachin Kumar, Huan Sun

ComPO: Community Preferences for Language Model Personalization

Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi

GLiREL - Generalist Model for Zero-Shot Relation Extraction

Jack Boylan, Chris Hokamp, Demian Gholipour Ghalandari

Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models

Aliakbar Nafar, K. Brent Venable, Parisa Kordjamshidi

Towards Operationalizing Right to Data Protection

Abhinav Java, Simra Shahid, Chirag Agarwal

PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models

Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An

Through the Lens of History: Methods for Analyzing Temporal Variation in Content and Framing of State-run Chinese Newspapers

Shijia Liu, David A. Smith

Making Language Models Robust Against Negation

MohammadHossein Rezaei, Eduardo Blanco

Teaching Models to Balance Resisting and Accepting Persuasion

Elias Stengel-Eskin, Peter Hase, Mohit Bansal

Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models

Nikhil Sharma, Kenton Murray, Ziang Xiao

HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing

Zifan He, Yingqi Cao, Zongyue Qin, Neha Prakriya, Yizhou Sun

Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps?

Sougata Saha, Saurabh Kumar Pandey, Harshit Gupta, Monojit Choudhury

Meta-Cultural Competence: Climbing the Right Hill of Cultural Awareness

Sougata Saha, Saurabh Kumar Pandey, Monojit Choudhury

Sneaking Syntax into Transformer Language Models with Tree Regularization

Ananjan Nandi, Christopher D Manning, Shikhar Murty

Follow the Beaten Path: The Role of Route Patterns on Vision-Language Navigation Agents Generalization Abilities

Kourosh T Baghaei, Dieter Pfoser, Antonios Anastasopoulos

Large Language Models for Persian-English Idiom Translation

Sara Rezaeimanesh, Faezeh Hosseini, Yadollah Yaghoobzadeh

Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation

Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li

PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Persona

Jihyun Lee, Yejin Jeon, Seungyeon Seo, Gary Lee

CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts

Malvina Nikandrou, Georgios Pantazopoulos, Nikolas Vitsakis, Ioannis Konstas, Alessandro Suglia

A Data-Driven Method for Analyzing and Quantifying Lyrics-Dance Motion Relationships

Kento Watanabe, Masataka Goto

Evaluating the Prompt Steerability of Large Language Models

Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Kush R. Varshney

Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data

Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu

Functional Lexicon in Subword Tokenization

Zachary William Hopton, Yves Scherrer, Tanja Samardžić

Enhancing Language Model Hypernetworks with Restart: A Study on Optimization

Yihan Zhang, Jie Fu, Rongrong Ji, Jie Chen

A Survey of NLP Progress in Sino-Tibetan Low-Resource Languages

Shuheng Liu, Michael Best

LLMs as Meta-Reviewers’ Assistants: A Case Study

Eftekhar Hossain, Sanjeev Kumar Sinha, Naman Bansal, R. Alexander Knipper, Souvika Sarkar

Towards Robust Knowledge Representations in Multilingual LLMs for Equivalence and Inheritance based Consistent Reasoning

Gaurav Arora, Srujana Merugu, Shreya Jain, Vaibhav Saxena

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices

Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences

Heejin Kook, Junyoung Kim, Seongmin Park, Jongwuk Lee

AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising

Peinan Zhang, Yusuke Sakai, Masato Mita, Hiroki Ouchi, Taro Watanabe

In-Context Learning (and Unlearning) of Length Biases

Stephanie Schoch, Yangfeng Ji

Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models

Michael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel

Navigating the Cultural Kaleidoscope: A Hitchhiker’s Guide to Sensitivity in Large Language Models

Somnath Banerjee, Sayan Layek, Hari Shrawgi, Rajarshi Mandal, Avik Halder

A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding

Abdulfattah Safa, Gözde Gül Şahin

CAST: Corpus-Aware Self-similarity Enhanced Topic modelling

Yanan Ma, Chenghao Xiao, Chenhan Yuan, Sabine N Van Der Veer, Lamiece Hassan

Commonality and Individuality! Integrating Humor Commonality with Speaker Individuality for Humor Recognition

Haohao Zhu, Junyu Lu, Zeyuan Zeng, Zewen Bai, Xiaokun Zhang

PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection

Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen

A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization

Haoxin Liu, Chenghao Liu, B. Aditya Prakash

Towards a Perspectivist Turn in Argument Quality Assessment

Julia Romberg, Maximilian Maurer, Henning Wachsmuth, Gabriella Lapesa

Is Your LLM Outdated? A Deep Look at Temporal Generalization

Chenghao Zhu, Nuo Chen, Yufei Gao, Yunyi Zhang, Prayag Tiwari

How to Make the Most of LLMs’ Grammatical Knowledge for Acceptability Judgments

Yusuke Ide, Yuto Nishida, Justin Vasselli, Miyu Oba, Yusuke Sakai

Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies

Zirui Song, Guangxian Ouyang, Meng Fang, Hongbin Na, Zijing Shi

NAT: Enhancing Agent Tuning with Negative Samples

Renxi Wang, Xudong Han, YIXUAN ZHANG, Timothy Baldwin, Haonan Li

Script-Agnosticism and its Impact on Language Identification for Dravidian Languages

Milind Agarwal, Joshua Otten, Antonios Anastasopoulos

Generative Prompt Internalization

Haebin Shin, Lei Ji, Yeyun Gong, Sungdong Kim, Eunbi Choi

LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search

Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li

A Logical Fallacy-Informed Framework for Argument Generation

Luca Mouchel, Debjit Paul, Shaobo Cui, Robert West, Antoine Bosselut

MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media

Muhammad Arslan Manzoor, Ruihong Zeng, Dilshod Azizov, Preslav Nakov, Shangsong Liang

The State and Fate of Summarization Datasets: A Survey

Noam Dahan, Gabriel Stanovsky

SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning

Magdalena Wysocka, Danilo Carvalho, Oskar Wysocki, Marco Valentino, Andre Freitas

K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning

Yadong Zhang, Shaoguang Mao, Tao Ge, Xun Wang, Yan Xia

Goal-Conditioned DPO: Prioritizing Safety in Misaligned Instructions

Joo Bon Maeng, Seongmin Lee, Seokin Seo, Kee-eung Kim

Prompt Compression for Large Language Models: A Survey

Zongqian Li, Yinhong Liu, Yixuan Su, Nigel Collier

Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projection

Koji Inoue, Divesh Lala, Gabriel Skantze, Tatsuya Kawahara

Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models

Varun Gumma, Pranjal A Chitale, Kalika Bali

Markov Chain of Thought for Efficient Mathematical Reasoning

Wen Yang, Minpeng Liao, Kai Fan

Investigating Hallucinations in Simultaneous Machine Translation: Knowledge Distillation Solution and Components Analysis

Donglei Yu, Xiaomian Kang, Yuchen Liu, Feifei Zhai, Nanchang Cheng

Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction

Junlang Qian, Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Zepeng Zhai

Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration

Ang Li, Jingqian Zhao, Bin Liang, Lin Gui, Hui Wang

RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement

Jinhao Jiang, Jiayi Chen, Junyi Li, Ruiyang Ren, Shijie Wang

ImgTrojan: Jailbreaking Vision-Language Models with ONE Image

Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong

Towards Automatic Evaluation for Image Transcreation

Simran Khanuja, Vivek Iyer, Xiaoyu He, Graham Neubig

SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad Hoc

Daniel Guzman Olivares, Lara Quijano, Federico Liberatore

Beemo: Benchmark of Expert-edited Machine-generated Outputs

Ekaterina Artemova, Jason S Lucas, Saranya Venkatraman, Jooyoung Lee, Sergei Tilga

SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based Agent

Keyeun Lee, Seo Hyeong Kim, Seolhee Lee, Jinsu Eun, Yena Ko

Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification

Ang Li, Yiquan Wu, Ming Cai, Adam Jatowt, Xiang Zhou

Wav2Prompt: End-to-End Speech Prompt Learning and Task-based Fine-tuning for Text-based LLMs

Keqi Deng, Guangzhi Sun, Phil Woodland

Knowledge Graph Guided Evaluation of Abstention Techniques

Kinshuk Vasisht, Navreet Kaur, Danish Pruthi

DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students’ Hand-Drawn Math Images

Sami Baral, Li Lucy, Ryan Knight, Alice Ng, Luca Soldaini

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor

Jeonghun Cho, Gary Lee

Self-Pluralising Culture Alignment for Large Language Models

Shaoyang Xu, Yongqi Leng, Linhao Yu, Deyi Xiong

Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects?

Yixiao He, Haifeng Sun, Pengfei Ren, Jingyu Wang, Huazheng Wang

LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation

Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian

Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design

Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen

From Distributional to Overton Pluralism: Investigating Large Language Model Alignment

Thom Lake, Eunsol Choi, Greg Durrett

CodeSCM: Causal Analysis for Multi-Modal Code Generation

Mukur Gupta, Noopur Bhatt, Suman Jana

Identifying Emerging Concepts in Large Corpora

Sibo Ma, Julian Nyarko

Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning

Zixiao Zhu, Zijian Feng, Hanzhang Zhou, Junlang Qian, Kezhi Mao

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang

Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation

Cong-Duy T Nguyen, Xiaobao Wu, Thong Thanh Nguyen, Shuai Zhao, Khoi M. Le

Active Few-Shot Learning for Text Classification

Saeed Ahmadnia, Arash Yousefi Jordehi, Mahsa Hosseini Khasheh Heyran, Seyed Abolghasem Mirroshandel, Owen Rambow

LegalViz: Legal Text Visualization by Text To Diagram Generation

Eri Onami, Taiki Miyanishi, Koki Maeda, Shuhei Kurita

Pula: Training Large Language Models for Setswana

Nathan Brown, Vukosi Marivate

Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models

Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian

Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models

Ziche Liu, Rui Ke, Yajiao Liu, Feng Jiang, Haizhou Li

JRE-L: Journalist, Reader, and Editor LLMs in the Loop for Science Journalism for the General Audience

Gongyao Jiang, Xinran Shi, Qiong Luo

tRAG: Term-level Retrieval-Augmented Generation for Domain-Adaptive Retrieval

Dohyeon Lee, Jongyoon Kim, Jihyuk Kim, Seung-won Hwang, Joonsuk Park

AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence

Minbeom Kim, Hwanhee Lee, Joonsuk Park, Hwaran Lee, Kyomin Jung

TRANSIENTTABLES: Evaluating LLMs’ Reasoning on Temporally Evolving Semi-structured Tables

Abhilash Shankarampeta, Harsh Mahajan, Tushar Kataria, Dan Roth, Vivek Gupta

Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions

Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang

ConMeC: A Dataset for Metonymy Resolution with Common Nouns

Saptarshi Ghosh, Tianyu Jiang

Leveraging LLM For Synchronizing Information Across Multilingual Tables

Siddharth Khincha, Tushar Kataria, Ankita Anand, Dan Roth, Vivek Gupta

Decoding Speculative Decoding

Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman