EMNLP 2025: all accepted papers
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- Understanding Subword Compositionality of Large Language Models ↗Qiwei Peng, Yekun Chai, Anders Søgaard1 citation
- Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs ↗Jun Bai, Minghao Tong, Yang Liu et al.1 citation
- Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary ↗Licheng Pan, Yongqi Tong, Xin Zhang et al.1 citation
- UnitCoder: Scalable Code Synthesis from Pre-training Corpora ↗Yichuan Ma, Yunfan Shao, Peiji Li et al.1 citation
- Unlearning vs. Obfuscation: Are We Truly Removing Knowledge? ↗Guangzhi Sun, Potsawee Manakul, Xiao Zhan et al.1 citation
- Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs ↗Michiharu Yamashita, Thanh Tran, Delvin Ce Zhang et al.1 citation
- Unsupervised Hallucination Detection by Inspecting Reasoning Processes ↗Ponhvoan Srey, Xiaobao Wu, Anh Tuan Luu1 citation
- Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio ↗Yiran Yang, Haifeng Sun, Jingyu Wang et al.1 citation
- V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models ↗Qidong Wang, Junjie Hu, Ming Jiang1 citation
- VC4VG: Optimizing Video Captions for Text-to-Video Generation ↗Yang Du, Zhuoran Lin, Kaiqiang Song et al.1 citation
- Variance Sensitivity Induces Attention Entropy Collapse and Instability in Transformers ↗Jonghyun Hong, Sungyoon Lee1 citation
- ViClaim: A Multilingual Multilabel Dataset for Automatic Claim Detection in Videos ↗Patrick Giedemann, Pius von Däniken, Jan Milan Deriu et al.1 citation
- ViDove: A Translation Agent System with Multimodal Context and Memory-Augmented Reasoning ↗Yichen Lu, Wei Dai, Jiaen Liu et al. · System Demonstrations1 citation
- VideoPASTA: 7K Preference Pairs That Matter for Video-LLM Alignment ↗Yogesh Kulkarni, Pooyan Fazli1 citation
- VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models ↗Jen-tse Huang, Jiantong Qin, Jianping Zhang et al.1 citation
- Visual-Aware Speech Recognition for Noisy Scenarios ↗Balaji Darur, Karan Singla1 citation
- VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search ↗Yiming Jia, Jiachen Li, Xiang Yue et al.1 citation
- Voice of a Continent: Mapping Africa's Speech Technology Frontier ↗AbdelRahim A. Elmadany, Sang Yun Kwon, Hawau Olamide Toyin et al.1 citation
- VoiceCraft-X: Unifying Multilingual, Voice-Cloning Speech Synthesis and Speech Editing ↗Zhisheng Zheng, Puyuan Peng, Anuj Diwan et al.1 citation
- Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning ↗Wenda Qin, Andrea Burns, Bryan A. Plummer et al.1 citation
- We Need to Measure Data Diversity in NLP –- Better and Broader ↗Dong Nguyen, Esther Ploeger1 citation
- WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model ↗Tianqing Fang, Hongming Zhang, Zhisong Zhang et al.1 citation
- WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation ↗Rabiul Awal, Mahsa Massoud, Aarash Feizi et al.1 citation
- What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection ↗Binh Nguyen, Shuju Shi, Ryan Ofman et al.1 citation
- What You See is What You Ask: Evaluating Audio Descriptions ↗Divy Kala, Eshika Khandelwal, Makarand Tapaswi1 citation
- What are Foundation Models Cooking in the Post-Soviet World? ↗Anton Lavrouk, Tarek Naous, Alan Ritter et al.1 citation
- When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs ↗Ammar Khairi, Daniel D'souza, Ye Shen et al.1 citation
- Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation ↗Jiayu Yao, Shenghua Liu, Yiwei Wang et al.1 citation
- Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors ↗Zhiyu Yang, Shuo Wang, Yukun Yan et al.1 citation
- Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA ↗Sergey Pletenev, Maria Marina, Nikolay Ivanov et al.1 citation
- XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML ↗Ernesto L. Estevanell-Valladares, Suilan Estévez-Velarde, Yoan Gutiérrez et al.1 citation
- XLQA: A Benchmark for Locale-Aware Multilingual Open-Domain Question Answering ↗Keonwoo Roh, Yeong-Joon Ju, Seong-Whan Lee1 citation
- Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks ↗Gaurav Bagwe, Saket Sanjeev Chaturvedi, Xiaolong Ma et al.1 citation
- ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based Optimization ↗Seungyoun Yi, Minsoo Khang, Sungrae Park1 citation
- Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency ↗Aman Goel, Daniel Schwartz, Yanjun Qi · Industry Track1 citation
- Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation ↗Yejin Choi, Jaewoo Park, Janghan Yoon et al.1 citation
- `Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ? ↗Huy Nghiem, Phuong-Anh Nguyen-Le, John Prindle et al.1 citation
- “I've Decided to Leak”: Probing Internals Behind Prompt Leakage Intents ↗Jianshuo Dong, Yutong Zhang, Liu Yan et al.1 citation
- s3: You Don't Need That Much Data to Train a Search Agent via RL ↗Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin et al.1 citation
- so much depends / upon / a whitespace: Why Whitespace Matters for Poets and LLMs ↗Sriharsh Bhyravajjula, Melanie Walsh, Anna Preus et al.1 citation
- $\textitDo It Yourself (DIY)$: Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation ↗Sofia Jamil, Kotla Sai Charan, Sriparna Saha et al.
- 3R: Enhancing Sentence Representation Learning via Redundant Representation Reduction ↗Longxuan Ma, Xiao Wu, Yuxin Huang et al.
- A Comprehensive Literary Chinese Reading Comprehension Dataset with an Evidence Curation Based Solution ↗Dongning Rao, Rongchu Zhou, Peng Chen et al.
- A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization ↗Anda Cheng, Wei Huang, Yinggui Wang
- A Generative Pre-Trained Language Model for Channel Prediction in Wireless Communications Systems ↗Bo Lin, Huanming Zhang, Yuhua Jiang et al.
- A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users ↗Nishant Balepur, Matthew Shu, Yoo Yeon Sung et al.
- A Graph-Theoretical Framework for Analyzing the Behavior of Causal Language Models ↗Rashin Rahnamoun, Mehrnoush Shamsfard
- A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications ↗Sunayana Sitaram, Adrian de Wynter, Isobel McCrum et al.
- A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations ↗Lingjun Zhao, Hal Daumé III
- A Proactive Reliability Metric for Detecting Failures in Language Model Training ↗Maryam Fatima · Industry Track
- A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy ↗Xiaoyun Zhang, Jingqing Ruan, Xing Ma et al. · Industry Track
- A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection ↗Chong Tian, Qirong Ho, Xiuying Chen
- A Systematic Analysis of Base Model Choice for Reward Modeling ↗Kian Ahrabian, Pegah Jandaghi, Negar Mokhberian et al.
- A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation ↗Yan Li, Tianyi Zhang, Zechuan Li et al.
- AI Knows Where You Are: Exposure, Bias, and Inference in Multimodal Geolocation with KoreaGEO ↗Xiaonan Wang, Bo Shao, Hansaem Kim
- AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt ↗Saket Sanjeev Chaturvedi, Gaurav Bagwe, Lan Emily Zhang et al.
- AMACE: Automatic Multi-Agent Chart Evolution for Iteratively Tailored Chart Generation ↗Hyuk Namgoong, Jeesu Jung, Hyeonseok Kang et al. · 🏆 SAC Highlight Award
- APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport ↗Zhuo Li, Yuege Feng, Dandan Guo et al.
- AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs ↗Xiaopeng Ke, Hexuan Deng, Xuebo Liu et al.
- AROMA: Autonomous Rank-one Matrix Adaptation ↗Hao Nan Sheng, Zhi-Yong Wang, Hing Cheung So et al.
- AbsVis – Benchmarking How Humans and Vision-Language Models “See” Abstract Concepts in Images ↗Tarun Tater, Diego Frassinelli, Sabine Schulte im Walde · 🏆 SAC Highlight Award
- AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models ↗Vatsal Malaviya, Agneet Chatterjee, Maitreya Patel et al.
- Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence ↗Yijiong Yu, Wei Wang, Ran Chen et al.
- Accelerated Test-Time Scaling with Model-Free Speculative Sampling ↗Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi et al.
- Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation ↗Hongxiang Zhang, Hao Chen, Muhao Chen et al.
- Adaptively profiling models with task elicitation ↗Davis Brown, Prithvi Balehannina, Helen Jin et al.
- Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs ↗Qi Gou, Zehua Xia, Li Juan et al. · Industry Track
- Advancing Language Models through Instruction Tuning: Recent Progress and Challenges ↗Zhihan Zhang, Renze Lou, Fangkai Jiao et al. · Tutorial Abstracts
- Advancing Oversight Reasoning across Languages for Audit Sycophantic Behaviour via X-Agent ↗Giulia Pucci, Leonardo Ranaldi
- AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment ↗Kun Li, Lai Man Po, Hongzheng Yang et al.
- Africa Health Check: Probing Cultural Bias in Medical LLMs ↗Charles Nimo, Shuheng Liu, Irfan Essa et al.
- Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows ↗Ninad Kulkarni, Xian Wu, Siddharth Varia et al. · Industry Track
- AgentPro: Enhancing LLM Agents with Automated Process Supervision ↗Yuchen Deng, Shichen Fan, Naibo Wang et al.
- Agentic-R1: Distilled Dual-Strategy Reasoning ↗Weihua Du, Pranjal Aggarwal, Sean Welleck et al.
- AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment ↗Mengyu Bu, Shaolei Zhang, Zhongjun He et al.
- Aligning LLMs for Multilingual Consistency in Enterprise Applications ↗Amit Agarwal, Hansa Meghwani, Hitesh Laxmichand Patel et al. · Industry Track
- Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations ↗Abhilekh Borah, Chhavi Sharma, Danush Khanna et al.
- Alignment with Fill-In-the-Middle for Enhancing Code Generation ↗Houxing Ren, Zimu Lu, Weikang Shi et al.
- All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning ↗Caiqi Zhang, Chang Shu, Ehsan Shareghi et al.
- All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens ↗Siddarth Mamidanna, Daking Rai, Ziyu Yao et al.
- AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time ↗Junyu Zhang, Runpei Dong, Han Wang et al.
- Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries ↗Sahana Ramnath, Anurag Mudgil, Brihi Joshi et al.
- An Address Intelligence Framework for E-commerce Deliveries ↗Gokul Swamy, Aman Gulati, Srinivas Virinchi et al. · Industry Track
- An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation ↗Shubham Gandhi, Atharva Naik, Yiqing Xie et al.
- An Orthogonal High-Rank Adaptation for Large Language Models ↗Xin Zhang, Guang-Ze Chen, Shuzhen Li et al.
- Analysis of Automated Document Relevance Annotation for Information Retrieval in Oil and Gas Industry ↗João Vitor Mariano Correia, Murilo Missano Bell, João Vitor Robiatti Amorim et al. · Industry Track
- Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions ↗Liuxuan Jiao, Chen Gao, Yiqian Yang et al.
- Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels ↗Junjie Ye, Yuming Yang, Yang Nan et al.
- Analyzing values about gendered language reform in LLMs' revisions ↗Jules Watson, Xi Wang, Raymond Liu et al.
- AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity ↗Yu Zhang, Dong Guo, Fang Wu et al.
- Anchoring-Guidance Fine-Tuning (AnGFT): Elevating Professional Response Quality in Role-Playing Conversational Agents ↗Qibin Li, Zhen Xu, Shengyuan Bai et al.
- Anecdoctoring: Automated Red-Teaming Across Language and Place ↗Alejandro Cuevas, Saloni Dash, Bharat Kumar Nayak et al.
- Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models ↗Gaifan Zhang, Yi Zhou, Danushka Bollegala
- AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models ↗Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie et al.
- Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability ↗Tu Anh Dinh, Jan Niehues
- Are Language Models Consequentialist or Deontological Moral Reasoners? ↗Keenan Samway, Max Kleiman-Weiner, David Guzman Piedrahita et al.
- Arena-lite: Efficient and Reliable Large Language Model Evaluation via Tournament-Based Direct Comparisons ↗Seonil Son, Ju-Min Oh, Heegon Jin et al.
- ArgCMV: An Argument Summarization Benchmark for the LLM-era ↗Omkar Gurjar, Agam Goyal, Eshwar Chandrasekharan
- Argument Summarization and its Evaluation in the Era of Large Language Models ↗Moritz Altemeyer, Steffen Eger, Johannes Daxenberger et al.
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