EMNLP 2025

4,182 papers

When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following

Keno Harada, Yudai Yamazaki, Masachika Taniguchi, Edison Marrese-Taylor, Takeshi Kojima

DAVIS: Planning Agent with Knowledge Graph-Powered Inner Monologue

Minh Pham Dinh, Michael G Yankoski, Munira Syed, Trenton W. Ford

TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance

Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han

Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism

Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains

Yongkang Xiao, Sinian Zhang, Yi Dai, Huixue Zhou, Jue Hou

VerifiAgent: a Unified Verification Agent in Language Model Reasoning

Jiuzhou Han, Wray Buntine, Ehsan Shareghi

OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Question Answering

Yulong Hui, Yihao Liu, Yao Lu, Huanchen Zhang

VisualEDU: A Benchmark for Assessing Coding and Visual Comprehension through Educational Problem-Solving Video Generation

Hao Chen, Tianyu Shi, Pengran Huang, Zeyuan Li, Jiahui Pan

KELE: A Multi-Agent Framework for Structured Socratic Teaching with Large Language Models

Xian Peng, Pan Yuan, Dong Li, Junlong Cheng, Qin Fang

Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning

Jiabao Kang, Xinye Li, Liyan Xu, Qingbin Liu, Xi Chen

GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models

Jialin Chen, Houyu Zhang, Seongjun Yun, Alejandro Mottini, Rex Ying

SMARTMiner: Extracting and Evaluating SMART Goals from Low-Resource Health Coaching Notes

Iva Bojic, Qi Chwen Ong, Stephanie Hilary Xinyi Ma, Lin Ai, Zheng Liu

Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs

Kuan Lok Zhou, Jiayi Chen, Siddharth Suresh, Reuben Narad, Timothy T. Rogers

Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition

Yi Liu, Xiangrong Zhu, Xiangyu Liu, Wei Wei, Wei Hu

TTPA: Token-level Tool-use Preference Alignment Training Framework with Fine-grained Evaluation

Chengrui Huang, Shen Gao, Zhengliang Shi, Dongsheng Wang, Shuo Shang

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback

Yifan Wang, Shen Gao, Jiabao Fang, Rui Yan, Billy Chiu

Simple Factuality Probes Detect Hallucinations in Long-Form Natural Language Generation

Jiatong Han, Neil Band, Muhammed Razzak, Jannik Kossen, Tim G. J. Rudner

O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion

Huu Tuong Tu, Huan Vu, Cuong Tien Nguyen, Dien Hy Ngo, Nguyen Thi Thu Trang

Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation

Dongwon Jung, Qin Liu, Tenghao Huang, Ben Zhou, Muhao Chen

Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check

Nicholas Lourie, Michael Y. Hu, Kyunghyun Cho

Inducing Argument Facets for Faithful Opinion Summarization

Jian Wang, Yanjie Liang, Yuqing Sun, Bin Gong

Public Data Assisted Differentially Private In-Context Learning

Seongho Joo, Hyukhun Koh, Kyomin Jung

Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing

Jongwoo Kim, SeongYeub Chu, Bryan Wong, Mun Yong Yi

Hallucination Detection in Structured Query Generation via LLM Self-Debating

Miaoran Li, Jiangning Chen, Minghua Xu, Xiaolong Wang

CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture

Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He

MemeInterpret: Towards an All-in-One Dataset for Meme Understanding

Jeongsik Park, Khoi P. N. Nguyen, Jihyung Park, Minseok Kim, Jaeheon Lee

Benchmarking and Improving LLM Robustness for Personalized Generation

Chimaobi Okite, Naihao Deng, Kiran Bodipati, Huaidian Hou, Joyce Chai

Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization

Ji Soo Lee, Byungoh Ko, Jaewon Cho, Howoong Lee, Jaewoon Byun

SRM-LLM: Semantic Relationship Mining with LLMs for Temporal Knowledge Graph Extrapolation

Fu Zhang, Panfeng Zhang, Jingwei Cheng

FSTs vs ICL: Generalisation in LLMs for an under-resourced language

Ximena Gutierrez, Mikel Segura Elizalde, Victor Mijangos

Language Models Can Easily Learn to Reason from Demonstrations

Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo

S*: Test Time Scaling for Code Generation

Dacheng Li, Shiyi Cao, Chengkun Cao, Xiuyu Li, Shangyin Tan

HetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering

Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang

Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages

Olga Kellert, Nemika Tyagi, Muhammad Imran, Nelvin Licona-Guevara, Carlos Gómez-Rodríguez

CLEAR: A Clinically Grounded Tabular Framework for Radiology Report Evaluation

Yuyang Jiang, Chacha Chen, Shengyuan Wang, Feng Li, Zecong Tang

Hopscotch: Discovering and Skipping Redundancies in Language Models

Mustafa Eyceoz, Nikhil Shivakumar Nayak, Hao Wang, Ligong Han, Akash Srivastava

Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems

Abdulla Alshabanah, Murali Annavaram

Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katya Mirylenka

MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMs

Haonan Ge, Yiwei Wang, Ming-Hsuan Yang, Yujun Cai

Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation

Tunazzina Islam, Dan Goldwasser

Peter Zeng, Pegah Alipoormolabashi, Jihu Mun, Gourab Dey, Nikita Soni

Profiling LLM’s Copyright Infringement Risks under Adversarial Persuasive Prompting

Jikai Long, Ming Liu, Xiusi Chen, Jialiang Xu, Shenglan Li

Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation

Farsheed Haque, Zhe Fu, Depeng Xu, Shuhan Yuan, Xi Niu

Debating for Better Reasoning in Vision-Language Models

Ashutosh Adhikari, Mirella Lapata

Large Language Models for Multilingual Previously Fact-Checked Claim Detection

Ivan Vykopal, Matúš Pikuliak, Simon Ostermann, Tatiana Anikina, Michal Gregor

MFTCXplain: A Multilingual Benchmark Dataset for Evaluating the Moral Reasoning of LLMs through Multi-hop Hate Speech Explanation

Jackson Trager, Francielle Vargas, Diego Alves, Matteo Guida, Mikel K. Ngueajio

Can VLMs Recall Factual Associations From Visual References?

Dhananjay Ashok, Ashutosh Chaubey, Hirona Jacqueline Arai, Jonathan May, Jesse Thomason

XRAG: Cross-lingual Retrieval-Augmented Generation

Wei Liu, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber

DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning

Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang

FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation

Yifeng He, Jicheng Wang, Yuyang Rong, Hao Chen

Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization

Elahe Rahimi, Hassan Sajjad, Domenic Rosati, Abeer Badawi, Elham Dolatabadi

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning

Sanchit Ahuja, Praneetha Vaddamanu, Barun Patra

Linguistic Alignment Predicts Learning in Small Group Tutoring Sessions

Dorothea French, Robert Moulder, Kelechi Ezema, Katharina von der Wense, Sidney K. DMello

Teaching Language Models To Gather Information Proactively

Tenghao Huang, Sihao Chen, Muhao Chen, Jonathan May, Longqi Yang

AfroXLMR-Social: Adapting Pre-trained Language Models for African Languages Social Media Text

Tadesse Destaw Belay, Israel Abebe Azime, Ibrahim Said Ahmad, David Ifeoluwa Adelani, Idris Abdulmumin

Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty?

Yang Nan, Pengfei He, Ravi Tandon, Han Xu

Identifying Noise in Human-Created Datasets using Training Dynamics from Generative Models

Maeda Hanafi, Ishan Jindal, Yannis Katsis, Lucian Popa, Huaiyu Zhu

A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers

Roxana Petcu, Samarth Bhargav, Maarten de Rijke, Evangelos Kanoulas

LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?

Rushil Gupta, Jason Hartford, Bang Liu

Zipf’s and Heaps’ Laws for Tokens and LLM-generated Texts

Nikolay Mikhaylovskiy

The Price of Format: Diversity Collapse in LLMs

Longfei Yun, Chenyang An, Zilong Wang, Letian Peng, Jingbo Shang

ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation

Longfei Yun, Letian Peng, Jingbo Shang

FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series

Gunjan Jalori, Preetika Verma, Sercan O Arik

Context Minimization for Resource-Constrained Text Classification: Optimizing Performance-Efficiency Trade-offs through Linguistic Features

Nahid Hossain, Md Faisal Kabir

Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland

Luca Rolshoven, Vishvaksenan Rasiah, Srinanda Brügger Bose, Sarah Hostettler, Lara Burkhalter

Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter

Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu

ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations

Ahatsham Hayat, Bilal Khan, Mohammad Rashedul Hasan

Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction

Zhexiong Liu, Diane Litman

Exploring Paraphrasing Strategies for CEFR A1-Level Constraints in LLMs

Eugenio Marzona, Maria Goikhman, Alessio Palmero Aprosio, Massimo Zancanaro

Token-Level Metrics for Detecting Incorrect Gold Annotations in Named Entity Recognition

Elena Merdjanovska, Alan Akbik

Adapting Large Language Models for Character-based Augmentative and Alternative Communication

Dylan Gaines, Keith Vertanen

LLMs Can Compensate for Deficiencies in Visual Representations

Sho Takishita, Jay Gala, Abdelrahman Mohamed, Kentaro Inui, Yova Kementchedjhieva

Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments

Amir Homayounirad, Enrico Liscio, Tong Wang, Catholijn M Jonker, Luciano Cavalcante Siebert

A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers

Zhihong Zhu, Fan Zhang, Yunyan Zhang, Jinghan Sun, Zhiqi Huang

X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding

Wenqi Zhou, Kai Cao, Hao Zheng, Yunze Liu, Xinyi Zheng

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models

Xiaoqing Cheng, Ruizhe Chen, Hongying Zan, Yuxiang Jia, Min Peng

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs

Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng, Zhiliang Wu, Jie Gui

Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents

Rui Xu, Mingyu Wang, Xintao Wang, Dakuan Lu, Xiaoyu Tan

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts

Rochana Prih Hastuti, Rian Adam Rajagede, Mansour Al Ghanim, Mengxin Zheng, Qian Lou

Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision

Xiaopeng Ye, Chen Xu, Chaoliang Zhang, Zhaocheng Du, Jun Xu

Can LLMs Be Efficient Predictors of Conversational Derailment?

Kaustubh Olpadkar, Vikram Sunil Bajaj, Leslie Barrett

BTW: A Non-Parametric Variance Stabilization Framework for Multimodal Model Integration

Jun Hou, Le Wang, Xuan Wang

Neutral Is Not Unbiased: Evaluating Implicit and Intersectional Identity Bias in LLMs Through Structured Narrative Scenarios

Saba Ghanbari Haez, Mauro Dragoni

Character is Destiny: Can Persona-assigned Language Models Make Personal Choices?

Rui Xu, Xintao Wang, Jiangjie Chen, Siyu Yuan, Xinfeng Yuan

Real, Fake, or Manipulated? Detecting Machine-Influenced Text

Yitong Wang, Zhongping Zhang, Margherita Piana, Zheng Zhou, Peter Gerstoft

SaCa: A Highly Compatible Reinforcing Framework for Knowledge Graph Embedding via Structural Pattern Contrast

Jiashi Lin, Changhong Jiang, Yixiao Wang, Xinyi Zhu, Zhongtian Hu

Side Effects of Erasing Concepts from Diffusion Models

Shaswati Saha, Sourajit Saha, Manas Gaur, Tejas Gokhale

An LLM-based Temporal-spatial Data Generation and Fusion Approach for Early Detection of Late Onset Alzheimer’s Disease (LOAD) Stagings Especially in Chinese and English-speaking Populations

Yang Han, Jacqueline C.k. Lam, Victor O.K. Li, Lawrence Y. L. Cheung

Enhancing LLM-Based Persuasion Simulations with Cultural and Speaker-Specific Information

Weicheng Ma, Hefan Zhang, Shiyu Ji, Farnoosh Hashemi, Qichao Wang

Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision

Tej Deep Pala, Panshul Sharma, Amir Zadeh, Chuan Li, Soujanya Poria

Self-Training Large Language Models with Confident Reasoning

Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn

Curse of Knowledge: Your Guidance and Provided Knowledge are biasing LLM Judges in Complex Evaluation

Weiyuan Li, Xintao Wang, Siyu Yuan, Rui Xu, Jiangjie Chen

A Survey of Cognitive Distortion Detection and Classification in NLP

Archie Sage, Jeroen Keppens, Helen Yannakoudakis

[MASK]ED - Language Modeling for Explainable Classification and Disentangling of Socially Unacceptable Discourse.

Dimitra Niaouri, Mohamed Rayane Ghilene, Michele Linardi, Julien Longhi

“Going to a trap house” conveys more fear than “Going to a mall”: Benchmarking Emotion Context Sensitivity for LLMs

Eojin Jeon, Mingyu Lee, Sangyun Kim, Junho Kim, Wanzee Cho

Evaluating distillation methods for data-efficient syntax learning

Takateru Yamakoshi, Thomas L. Griffiths, R. Thomas McCoy, Robert D. Hawkins

HGAdapter: Hypergraph-based Adapters in Language Models for Code Summarization and Clone Detection

Guang Yang, Yujie Zhu

LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions

Yongju Jia, Jiarui Ma, Xiangxian Li, Baiqiao Zhang, Xianhui Cao

Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing

Bhiman Kumar Baghel, Emma Jordan, Zheyuan Ryan Shi, Xiang Lorraine Li

SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection

Taichi Aida, Danushka Bollegala