EMNLP 2025

4,182 papers

Evaluating the Creativity of LLMs in Persian Literary Text Generation

Armin Tourajmehr, Mohammad Reza Modarres, Yadollah Yaghoobzadeh

PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models

ChenZhuo Zhao, Ziqian Liu, Xinda Wang, Junting Lu, Chaoyi Ruan

MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization

Yinhong Liu, Jianfeng He, Hang Su, Ruixue Lian, Yi Nian

QUARTZ: QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization

Mohamed Imed Eddine Ghebriout, Gaël Guibon, Ivan Lerner, Emmanuel Vincent

Trust Me, I’m Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer

Adi Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov

Navigating the Unknown: Intent Classification and Out-of-Distribution Detection Using Large Language Models

Yusuf Sali, Sıtkı Can Toraman

Can You Trick the Grader? Adversarial Persuasion of LLM Judges

Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung

Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare

Hiba Ahsan, Arnab Sen Sharma, Silvio Amir, David Bau, Byron C Wallace

Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models

Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe

RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing

Ruihan Jin, Pengpeng Shao, Zhengqi Wen, Jinyang Wu, Mingkuan Feng

Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA

Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao

FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models

Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano

Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding

Taowen Liu, Marta Andronic, Deniz Gündüz, George Anthony Constantinides

Social Bias Evaluation for Large Language Models Requires Prompt Variations

Rem Hida, Masahiro Kaneko, Naoaki Okazaki

SubDocTrans: Enhancing Document-level Machine Translation with Plug-and-play Multi-granularity Knowledge Augmentation

Hanghai Hong, Yibo Xie, Jiawei Zheng, Xiaoli Wang

HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals

Guimin Hu, Daniel Hershcovich, Hasti Seifi

BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion

Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei

Learning Trajectories of Figurative Language for Pre-Trained Language Models

Nicola Arici, Luca Putelli, Ejdis Gjinika, Ivan Serina, Alfonso Emilio Gerevini

Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models

Bang Trinh Tran To, Thai Le

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks

Qi Chai, Zhang Zheng, Junlong Ren, Deheng Ye, Zichuan Lin

TRUEBench: Can LLM Response Meet Real-world Constraints as Productivity Assistant?

Jiho Park, Jongyoon Song, Minjin Choi, Kyuho Heo, Taehun Huh

Do Influence Functions Work on Large Language Models?

Zhe Li, Wei Zhao, Yige Li, Jun Sun

Human-Inspired Obfuscation for Model Unlearning: Local and Global Strategies with Hyperbolic Representations

Zekun Wang, Jingjie Zeng, Yingxu Li, Liang Yang, Hongfei Lin

Fair Text-Attributed Graph Representation Learning

Ruilin Luo, Tianle Gu, Lin Wang, Yunfeng Zhou, Songtao Jiang

MLAlgo-Bench: Can Machines Implement Machine Learning Algorithms?

Yunfei Wang, Yeqin Zhang, Yuyang Wu, Liang Lu, Phi Le Nguyen

CURE: Controlled Unlearning for Robust Embeddings — Mitigating Conceptual Shortcuts in Pre-Trained Language Models

Aysenur Kocak, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization

Zhensheng Jin, Xinze Li, Yifan Ji, Chunyi Peng, Zhenghao Liu

pFedRAG: A Personalized Federated Retrieval-Augmented Generation System with Depth-Adaptive Tiered Embedding Tuning

Hangyu He, Xin Yuan, Kai WU, Ren Ping Liu, Wei Ni

Retrieval Augmented Generation based context discovery for ASR

Siskos Dimitrios, Stavros Papadopoulos, Pablo Peso Parada, Jisi Zhang, Karthikeyan Saravanan

Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs

Wei Zhao, Zhe Li, Yige Li, Jun Sun

InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning

Xiaotian Han, Yiren Jian, Xuefeng Hu, Haogeng Liu, Yiqi Wang

1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models

Zeliang Zong, Kai Zhang, zheyang li, Wenming Tan, Ye Ren

SEKE: Specialised Experts for Keyword Extraction

Matej Martinc, Thi Hong Hanh Tran, Senja Pollak, Boshko Koloski

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment

Yuqing Huang, Rongyang Zhang, Qimeng Wang, Chengqiang Lu, Yan Gao

Make Every Letter Count: Building Dialect Variation Dictionaries from Monolingual Corpora

Robert Litschko, Verena Blaschke, Diana Burkhardt, Barbara Plank, Diego Frassinelli

This is not a Disimprovement: Improving Negation Reasoning in Large Language Models via Prompt Engineering

Joshua Jose Dias Barreto, Abhik Jana

Benchmarking Contextual and Paralinguistic Reasoning in Speech-LLMs: A Case Study with In-the-Wild Data

Qiongqiong Wang, Hardik Bhupendra Sailor, TIANCHI LIU, Wenyu Zhang, Muhammad Huzaifah

Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation

Evgeniia Tokarchuk, Sergey Troshin, Vlad Niculae

Coherence of Argumentative Dialogue Snippets: A New Method for Large Scale Evaluation with an Application to Inference Anchoring Theory

Paul Piwek, Jacopo Amidei, Svetlana Stoyanchev

DeMAC: Enhancing Multi-Agent Coordination with Dynamic DAG and Manager-Player Feedback

Yuhan Liu, Cong Xu, LU LIU, Yihua Wang, Feiyu Chen

BiMediX2 : Bio-Medical EXpert LMM for Diverse Medical Modalities

Sahal Shaji Mullappilly, Mohammed Irfan Kurpath, Sara Pieri, Saeed Yahya Alseiari, Shanavas Cholakkal

Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics

Yuriel Ryan, Rui Yang Tan, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

Bridging Semantic and Modality Gaps in Zero-Shot Captioning via Retrieval from Synthetic Data

Zhiyue Liu, Wenkai Zhou

A Generative Framework for Personalized Sticker Retrieval

Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Yu-An Liu, Fan Zhang

SKRAG: A Retrieval-Augmented Generation Framework Guided by Reasoning Skeletons over Knowledge Graphs

Xiaotong Xu, Yizhao Wang, Yunfei Liu, Shengyang Li

From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing

Chengrui Xiang, Tengfei Ma, Xiangzheng Fu, Yiping Liu, Bosheng Song

A Survey on LLMs for Story Generation

Maria Teleki, Vedangi Bengali, Xiangjue Dong, Sai Tejas Janjur, Haoran Liu

On Collaborating Small and Large Models For Few-shot Intent Detection

Peng Chen, Bang Wang

The Search for Conflicts of Interest: Open Information Extraction in Scientific Publications

Garima Gaur, Oana Balalau, Ioana Manolescu, Prajna Upadhyay

How Much Do Large Language Models Know about Human Motion? A Case Study in 3D Avatar Control

Kunhang Li, Jason Naradowsky, Yansong Feng, Yusuke Miyao

Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations

Yifan Lu, Ziqi Zhang, chunfeng yuan, Jun Gao, Congxuan Zhang

Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness

Lotem Peled-Cohen, Maya Zadok, Nitay Calderon, Hila Gonen, Roi Reichart

Modeling Subjectivity in Cognitive Appraisal with Language Models

Yuxiang Zhou, Hainiu Xu, Desmond C. Ong, Maria Liakata, Petr Slovak

LLM Agents for Education: Advances and Applications

Zhendong Chu, Shen Wang, jian xie, Tinghui Zhu, Yibo Yan

Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond

Yinghao Hu, Yaoyao Yu, Leilei Gan, Bin Wei, Kun Kuang

SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity

Xiangyu Xi, Deyang Kong, Jian Yang, Jiawei Yang, Zhengyu Chen

LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning

Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Jinsong Su

SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis

Shuang Sun, Huatong Song, Yuhao Wang, Ruiyang Ren, Jinhao Jiang

LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning

Yining Huang, Bin Li, Keke Tang, Meilian Chen

LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation

Yiqun Shen, Song Yuan, Zhengze Zhang, Xiaoliang Wang, Daxin Jiang

SLiNT: Structure-aware Language Model with Injection and Contrastive Training for Knowledge Graph Completion

Mengxue Yang, Chun Yang, Jiaqi Zhu, Jiafan Li, Jingqi Zhang

Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training

Fenghua Weng, Jian Lou, Jun Feng, Minlie Huang, Wenjie Wang

On the Correspondence between the Squared Norm and Information Content in Text Embeddings

Enrique Amigo, Adrian Ghajari, Alejandro Benito-Santos, Diego De La Fuente Rodríguez

MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique

Gailun Zeng, Ziyang Luo, Hongzhan Lin, Yuchen Tian, Kaixin Li

InteGround: On the Evaluation of Verification and Retrieval Planning in Integrative Grounding

Cheng Jiayang, Qianqian Zhuang, Haoran Li, Chunkit Chan, Xin Liu

Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning

Huatong Song, Jinhao Jiang, Wenqing Tian, Zhipeng Chen, Yuhuan Wu

RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing

Hao Xiang, Tianyi Tang, Yang Su, Bowen Yu, An Yang

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot

Xiang Cheng, Chengyan Pan, Minjun Zhao, Deyang Li, Fangchao Liu

KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases

Zheni Zeng, Yuxuan Chen, Shi Yu, Ruobing Wang, Yukun Yan

HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning

Zhenyi Wang, Yapeng Jia, Haiyan Ning, Peng Wang, Dan Wang

MultiConIR: Towards Multi-Condition Information Retrieval

Xuan Lu, Sifan Liu, Bochao Yin, Yongqi Li, Xinghao Chen

How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders

Tatsuro Inaba, Go Kamoda, Kentaro Inui, Masaru Isonuma, Yusuke Miyao

From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs?

Geng Zhang, Yizhou Ying, Sihang Jiang, Jiaqing Liang, Guanglei Yue

A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models

Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi

Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models

Wenrui Bao, Kai Wang, Siqiang Luo, Xiang Li

2Columns1Row: A Russian Benchmark for Textual and Multimodal Table Understanding and Reasoning

Vildan Saburov, Daniil Vodolazsky, Danil Sazanakov, Alena Fenogenova

OAgents: An Empirical Study of Building Effective Agents

He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan

Spelling-out is not Straightforward: LLMs’ Capability of Tokenization from Token to Characters

Tatsuya Hiraoka, Kentaro Inui

Mixture of LoRA Experts for Continual Information Extraction with LLMs

Zitao Wang, Xinyi Wang, Wei Hu

Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings

Nathan Inkiriwang, Necva Bölücü, Garth Tarr, Maciej Rybinski

Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models

Yunhai Hu, Zining Liu, Zhenyuan Dong, Tianfan Peng, Bradley McDanel

UniCoM: A Universal Code-Switching Speech Generator

Sangmin Lee, Woojin Chung, Seyun Um, Hong-Goo Kang

Structure-aware Propagation Generation with Large Language Models for Fake News Detection

Mengyang Chen, Lingwei Wei, Wei Zhou, Songlin Hu

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains

Yang Wu, Raha Moraffah, Rujing Yao, Jinhong Yu, Zhimin Tao

MarathiEmoExplain: A Dataset for Sentiment, Emotion, and Explanation in Low-Resource Marathi

Anuj Kumar, Mohammed Faisal Sayed, Satyadev Ahlawat, Yamuna Prasad

SimBA: Simplifying Benchmark Analysis Using Performance Matrices Alone

Nishant Subramani, Alfredo Gomez, Mona T. Diab

ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning

Yang Wu, Huayi Zhang, Yizheng Jiao, Lin Ma, Xiaozhong Liu

Sensitivity-LoRA : Low-Load Sensitivity-Based Fine-Tuning for Large Language Models

Hao Zhang, Bo Huang, Zhenjia Li, Xi Xiao, Hui Yi Leong

HAWK: Highlighting Entity-aware Knowledge for Alleviating Information Sparsity in Long Contexts

Seonmin Koo, JINSUNG KIM, Chanjun Park, Heuiseok Lim

MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents

Kehang Jia, Juntao Li, xiaobo liang, Yisheng Xiao, Yixuan Yang

MoVoC: Morphology-Aware Subword Construction for Ge’ez Script Languages

Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl

DocMMIR: A Framework for Document Multi-modal Information Retrieval

Zirui Li, Siwei Wu, Yizhi Li, Xingyu Wang, Yi Zhou

BiMax: Bidirectional MaxSim Score for Document-Level Alignment

Xiaotian Wang, Takehito Utsuro, Masaaki Nagata

MARIO-0.5B: A Multi-Agent Lightweight Model for Real-Time Open Information Extraction in Low-Resource Settings

Donghai Zhang, SHuangtao Yang, Dong Xiaozheng, Wei Song, Bo Fu

Can LLMs Truly Plan? A Comprehensive Evaluation of Planning Capabilities

Gayeon Jung, HyeonSeok Lim, MinJun Kim, Joon-Ho Lim, KyungTae Lim

ChartM3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart Comprehension

Duo Xu, Hao Cheng, Xin lin, Zhen Xie, Hao Henry Wang

CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning

Jianfeng Pan, Senyou Deng, Shaomang Huang

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression

Wei Huang, Huang Wei, Yinggui Wang

RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis

Xue Tan, Hao Luan, Mingyu Luo, Xiaoyan Sun, Ping Chen

ACEBench: A Comprehensive Evaluation of LLM Tool Usage

Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng