EMNLP 2025

4,182 papers

SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs

Samir Abdaljalil, Filippo Pallucchini, Andrea Seveso, Hasan Kurban, Fabio Mercorio

Multilingual Data Filtering using Synthetic Data from Large Language Models

Jonas Waldendorf, Barry Haddow, Alexandra Birch, Mateusz Klimaszewski

FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts

Ziyi Zhang, Zhen Sun, Zongmin Zhang, Jihui Guo, Xinlei He

Extracting Conceptual Spaces from LLMs Using Prototype Embeddings

Nitesh Kumar, Usashi Chatterjee, Steven Schockaert

B-REASO: A Multi-Level Multi-Faceted Bengali Evaluation Suite for Foundation Models

Md Tanzib Hosain, Md Kishor Morol

VeriFastScore: Speeding up long-form factuality evaluation

Rishanth Rajendhran, Amir Zadeh, Matthew Sarte, Chuan Li, Mohit Iyyer

HARE: an entity and relation centric evaluation framework for histopathology reports

Yunsoo Kim, Michal Wen Sheue Ong, Alex Shavick, Honghan Wu, Adam P. Levine

KoLEG: On-the-Fly Korean Legal Knowledge Editing with Continuous Retrieval

Jaehyung Seo, DaHyun Jung, Jaewook Lee, Yongchan Chun, Dongjun Kim

Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search

Shuo Huang, Xingliang Yuan, Gholamreza Haffari, Lizhen Qu

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models

Juraj Vladika, Mahdi Dhaini, Florian Matthes

INREACT: An Inspire-Then-Reinforce Training Framework For Multimodal GUI Agent

Yuanlei Wang, Liuzhou Zhang, Haohao Luo, Ying Shen

Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch

Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du

DroidCall: A Dataset for LLM-powered Android Intent Invocation

Weikai Xie, Li Zhang, Shihe Wang, Rongjie Yi, Mengwei Xu

S2LPP: Small-to-Large Prompt Prediction across LLMs

Liang Cheng, Tianyi Li, Zhaowei Wang, Mark Steedman

EventRelBench: A Comprehensive Benchmark for Evaluating Event Relation Understanding in Large Language Models

Jie Gong, Biaoshuai Zheng, Qiwang Hu

Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs

Nandan Thakur, Crystina Zhang, Xueguang Ma, Jimmy Lin

Polish-English medical knowledge transfer: A new benchmark and results

Łukasz Grzybowski, Jakub Pokrywka, Michał Ciesiółka, Jeremi Ignacy Kaczmarek, Marek Kubis

Self-Supervised Prompt Optimization

Jinyu Xiang, Jiayi Zhang, Zhaoyang Yu, Xinbing Liang, Fengwei Teng

Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency

Chuan Wu, Meng Su, Youxuan Fang, Shaolin Zhu

Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents

Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li

NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human

Shuo Huang, William Maclean, Xiaoxi Kang, Qiongkai Xu, Zhuang Li

CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs

Qi Xu, Qian Liu, Hao Fei, Hang Yu, Shuhao Guan

A Survey of Multilingual Reasoning in Language Models

Akash Ghosh, Debayan Datta, Sriparna Saha, Chirag Agarwal

HEAL: A Hypothesis-Based Preference-Aware Analysis Framework

Yifu Huo, Chenglong Wang, Qiren Zhu, Shunjie Xing, Tong Xiao

ImpRAG: Retrieval-Augmented Generation with Implicit Queries

Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen

TR-MTEB: A Comprehensive Benchmark and Embedding Model Suite for Turkish Sentence Representations

Mehmet Selman Baysan, Tunga Güngör

FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models

Mingyang Song, Mao Zheng, Zheng Li, Wenjie Yang, Xuan Luo

Enhancing LLM Knowledge Learning through Generalization

Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao

DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization

Nuo Chen, Yufei Gao, Yongnan Jin, Yan Hu, Anningzhe Gao

Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA

Qingyun Jin, Xiaohui Song, Feng Zhou, Zengchang Qin

MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation

Jungyeon Lee, Lee Kangmin, Taeuk Kim

ScholarBench: A Bilingual Benchmark for Abstraction, Comprehension, and Reasoning Evaluation in Academic Contexts

Dongwon Noh, Donghyeok Koh, Junghun Yuk, Gyuwan Kim, Jae Yong Lee

Rethink Rumor Detection in the Era of LLMs: A Review

Chang Yang, Peng Zhang, Jing Zhang, Hui Gao, Changhao Song

Training Medical QA Models Based on Mixed Rewards from Multiple-Choice and Open-Ended Questions

Yue Qiu, Yujan Ting, Pei Dong, Terrence Chen, Weijing Huang

Joint Enhancement of Relational Reasoning for Long-Context LLMs

Zhirui Chen, Wei Shen, Jiashui Huang, Ling Shao

CtrlNews: LLM-based Multi-Agent Controllable News Writing via Knowledge Gravitational Field

Yifei Xu, Yingjie Zong, Wang Zhonghua, Sirui Wu, Yuan Rao

From Confidence to Collapse in LLM Factual Robustness

Alina Fastowski, Bardh Prenkaj, Gjergji Kasneci

DAPE-BR: Distance-Aware Positional Encoding for Mitigating Object Hallucination in LVLMs

Mingrui Xie, Tianxiang Xu, Qianhai Tang, Shanming Yao, Xiaofeng Zhang

The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games?

Zihao Guo, Hongtao Lv, Chaoli Zhang, Yibowen Zhao, Yixin Zhang

PersLLM: A Personified Training Approach for Large Language Models

Zheni Zeng, Jiayi Chen, Huimin Chen, Yukun Yan, Yuxuan Chen

Representing LLMs in Prompt Semantic Task Space

Idan Kashani, Avi Mendelson, Yaniv Nemcovsky

SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning

Yue Xin, Chen Shen, Shaotian Yan, Xiaosong Yuan, Yaoming Wang

FedCoT: Federated Chain-of-Thought Distillation for Large Language Models

Tao Fan, Weijing Chen, Yan Kang, Guoqiang Ma, Hanlin Gu

Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks

Tianlong Wang, Junzhe Chen, Weibin Liao, Xueting Han, Jing Bai

LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering

Patrick Sutanto, Joan Santoso, Esther Irawati Setiawan, Aji Prasetya Wibawa

Staged Knowledge Distillation Through Least-to-Most Prompting: Optimizing Teacher Guidance via Difficulty-Aware Training

Mengxiang Zhang, Lingyuan Liu

SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation Intervention

Jiaqi Wu, Chen Chen, Chunyan Hou, Xiaojie Yuan

AttnComp: Attention-Guided Adaptive Context Compression for Retrieval-Augmented Generation

Lvzhou Luo, Yixuan Cao, Ping Luo

What data should I include in my POS tagging training set?

Zoey Liu, Masoud Jasbi, Christan Grant, Kenji Sagae, Emily Prud’hommeaux

RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation

Aviv Slobodkin, Hagai Taitelbaum, Yonatan Bitton, Brian Gordon, Michal Sokolik

Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration

Donghee Han, Hwanjun Song, Mun Yong Yi

Are the Reasoning Models Good at Automated Essay Scoring?

Lui Yoshida

Watermarking for Factuality: Guiding Vision-Language Models Toward Truth via Tri-layer Contrastive Decoding

Kyungryul Back, Seongbeom Park, Milim Kim, Mincheol Kwon, Sanghyeok Lee

For a Fistful of Puns: Evaluating a Puns in Multiword Expressions Identification Algorithm Without Dedicated Dataset

Julien Bezançon, Gaël Lejeune

Towards Robust Few-Shot Relation Classification: Incorporating Relation Description with Agreement

Mengting Hu, Jianfeng Wu, Ming Jiang, Yalan Xie, Zhunheng Wang

DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective

Dengyun Peng, Yuhang Zhou, Qiguang Chen, JinHao Liu, Jingjing Chen

LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints

T Karthikeyan, Om Dehlan, Mausam, Manish Gupta

Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery

Amartya Roy, N Devharish, Shreya Ganguly, Kripabandhu Ghosh

Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?

Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park

Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning

Hongyi Cai, Jie Li, Mohammad Mahdinur Rahman, Wenzhen Dong

Improving Alignment in LVLMs with Debiased Self-Judgment

Sihan Yang, Chenhang Cui, Zihao Zhao, Yiyang Zhou, Weilong Yan

Distributional Surgery for Language Model Activations

Bao Nguyen, Binh Nguyen, Duy Nguyen, Viet Anh Nguyen

Enhancing Recommendation Explanations through User-Centric Refinement

Jingsen Zhang, Zihang Tian, Xueyang Feng, Xu Chen, Chong Chen

Rethinking DPO: The Role of Rejected Responses in Preference Misalignment

Jae Hyeon Cho, JunHyeok Oh, Myunsoo Kim, Byung-Jun Lee

VLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

Zhanpeng Chen, Chengjin Xu, Yiyan Qi, Xuhui Jiang, Jian Guo

A Group Fairness Lens for Large Language Models

Guanqun Bi, Yuqiang Xie, Lei Shen, Yanan Cao

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang, Chenyang Yang, Jiayi Wei

More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression

Jiebin Zhang, Dawei Zhu, Yifan Song, Wenhao Wu, Chuqiao Kuang

GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction

Jie Zhao, Wanting Ning, Yuxiao Fei, Yubo Feng, Lishuang Li

ASD-iLLM:An Intervention Large Language Model for Autistic Children based on Real Clinical Dialogue Intervention Dataset

Shuzhong Lai, Chenxi Li, Junhong Lai, Yucun Zhong, Chenyu Yan

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs

Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu

Enhancing SQL Table Acquisition with Reverse Engineering for Text-to-SQL

Shixin Liu, Haoyu Xu, Yu Hong

InteractSpeech: A Speech Dialogue Interaction Corpus for Spoken Dialogue Model

Yifu Chen, Shengpeng Ji, Ziqing Wang, Hanting Wang, Zhou Zhao

Nine Ways to Break Copyright Law and Why Our LLM Won’t: A Fair Use Aligned Generation Framework

Aakash Sen Sharma, Debdeep Sanyal, Priyansh Srivastava, Sundar Athreya H, Shirish Karande

COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing

Rajvee Sheth, Himanshu Beniwal, Mayank Singh

REAR: Reinforced Reasoning Optimization for Event Argument Extraction with Relation-Aware Support

Jianwen Luo, Yu Hong, Shuai Yang, Jianmin Yao

Enhancing Attributed Question Answering using Tailored Progressive Curriculum Learning

Yuhan Chen, Bowei Zou, Yifan Fan, Yuchong Chen, Shujun Cao

Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation

Sheng Liang, Hang Lv, Zhihao Wen, Yaxiong Wu, Yongyue Zhang

Token Knowledge: A New Perspective For Knowledge in Large Language Models

Jieyong Wang, Chunyao Song, Tingjian Ge

ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction

Jeesu Jung, Chanjun Park, Sangkeun Jung

LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences

Liangqi Yuan, Dong-Jun Han, Christopher Brinton, Sabine Brunswicker

Leveraging 3D Gaussian for Temporal Knowledge Graph Embedding

Jiang Li, Xiangdong Su, Guanglai Gao

GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee

Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales

JianZhi Yan, Le Liu, Youcheng Pan, Shiwei Chen, Yang Xiang

Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning

Zhuoyue Chen, Jihai Zhang, Ben Liu, Fangquan Lin, Wotao Yin

Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents

Pengzhou Cheng, Haowen Hu, Zheng Wu, Zongru Wu, Tianjie Ju

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark

Lan Li, Liri Fang, Bertram Ludäscher, Vetle I Torvik

StepKE: Stepwise Knowledge Editing for Multi-Hop Question Answering

Jaewook Lee, DaHyun Jung, Heuiseok Lim

Enriching Patent Claim Generation with European Patent Dataset

Lekang Jiang, Chengzu Li, Stefan Goetz

Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs

Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei

MC2: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing

Ziyao Xu, Zhe Yang, Houfeng Wang

ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models

KyungMin Kim, Youngbin Choi, Hyounghun Kim, Dongwoo Kim, Sangdon Park

Temporal Alignment of Time Sensitive Facts with Activation Engineering

Sanjay Govindan, Maurice Pagnucco, Yang Song

AutoEvolve: Automatically Evolving Queries for Applicable and Scalable Retrieval-Augmented Generation Benchmarking

Ding-Chu Zhang, Xiaowen Zhang, Yue Fei, Renjun Hu, Xiao-wen Yang

Forget for Get: A Lightweight Two-phase Gradient Method for Knowledge Editing in Large Language Models

Yanhong Li, Min Yang, Xiping Hu, Chengming Li

Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation

Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao

Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer

Euntae Choi, Sumin Song, Woosang Lim, Sungjoo Yoo

GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors

Xinrong Chen, Hengyuan Zhang, Yingmin Qiu, Xiao Liang, Ziyue Li

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning

Jinyuan Feng, ChaoPeng Wei, Tenghai Qiu, Tianyi Hu, Zhiqiang Pu

Addition in Four Movements: Mapping Layer-wise Information Trajectories in LLMs

Yao Yan