EMNLP 2025: all accepted papers
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- Quality Assessment of Tabular Data using Large Language Models and Code Generation ↗Ashlesha Akella, Akshar Kaul, Krishnasuri Narayanam et al. · Industry Track
- Quantifying Language Disparities in Multilingual Large Language Models ↗Songbo Hu, Ivan Vulić, Anna Korhonen · 🏆 SAC Highlight Award
- Quantifying Logical Consistency in Transformers via Query-Key Alignment ↗Eduard Tulchinskii, Laida Kushnareva, Anastasia Voznyuk et al.
- Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs ↗Yao Fu, Xianxuan Long, Runchao Li et al.
- Quest2DataAgent: Automating End-to-End Scientific Data Collection ↗Tianyu Yang, Yuhan Liu, Sobin Alosious et al. · System Demonstrations
- R-BPE: Improving BPE-Tokenizers with Token Reuse ↗Nancy Hamdan, Osama Rakan Al Mraikhat, Fadi A. Zaraket
- R-CHAR: A Metacognition-Driven Framework for Role-Playing in Large Language Models ↗Haiming Qin, Jiwei Zhang, Wei Zhang et al.
- RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning ↗Kun Li, Yunxiang Li, Tianhua Zhang et al.
- RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation ↗Andrei C. Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro et al.
- RAV: Retrieval-Augmented Voting for Tactile Descriptions Without Training ↗Jinlin Wang, Yulong Ji, Hongyu Yang
- RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language ↗Subrata Biswas, Mohammad Nur Hossain Khan, Bashima Islam
- RBPtool: A Deep Language Model Framework for Multi-Resolution RBP-RNA Binding Prediction and RNA Molecule Design ↗Jiyue Jiang, Yitao Xu, Zikang Wang et al.
- RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks ↗Amit Agarwal, Hitesh Laxmichand Patel, Srikant Panda et al. · Industry Track
- RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations ↗Haihua Xie, Yinzhu Cheng, Yaqing Wang et al.
- REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing ↗Haitian Zhong, Yuhuan Liu, Ziyang Xu et al.
- REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking ↗Pinhuan Wang, Zhiqiu Xia, Chunhua Liao et al.
- RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging ↗Bowen Wang, Haiyuan Wan, Liwen Shi et al.
- RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution ↗Jiahui Li, Lin Li, Tai-Wei Chang et al.
- RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models ↗Pingyi Hu, Xiaofan Bai, Xiaojing Ma et al.
- REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing ↗Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh et al.
- RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs ↗Can Lin, Zhengwang Jiang, Ling Zheng et al.
- RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters ↗Lucas Spangher, Rama Kumar Pasumarthi, Nick Masiewicki et al. · Industry Track
- RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering ↗Yiming Zhang, Siyue Zhang, Junbo Zhao et al.
- Randomized Smoothing Meets Vision-Language Models ↗Emmanouil Seferis, Changshun Wu, Stefanos Kollias et al.
- Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks ↗Sotaro Takeshita, Yurina Takeshita, Daniel Ruffinelli et al. · 🏆 People's Choice Award
- Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data ↗Zicheng Zhou, Min Huang, Qinghai Miao
- ReSeeding Latent States for Sequential Language Understanding ↗Stéphane Aroca-Ouellette, Katharina von der Wense, Alessandro Roncone
- Read to Hear: A Zero-Shot Pronunciation Assessment Using Textual Descriptions and LLMs ↗Yu-Wen Chen, Melody Ma, Julia Hirschberg
- Realistic Training Data Generation and Rule Enhanced Decoding in LLM for NameGuess ↗Yikuan Xia, Jiazun Chen, Sujian Li et al.
- Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling ↗Zhenning Shi, Yijia Zhu, Yi Xie et al.
- Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation ↗Jun-Yu Ma, Tianqing Fang, Zhisong Zhang et al.
- Recon, Answer, Verify: Agents in Search of Truth ↗Satyam Shukla, Himanshu Dutta, Pushpak Bhattacharyya · Industry Track
- Recontextualizing Revitalization: A Mixed Media Approach to Reviving the Nüshu Language ↗Ivory Yang, Xiaobo Guo, Yuxin Wang et al.
- Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation ↗Devleena Das, Rajeev Patwari, Ashish Sirasao · Industry Track
- Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? ↗Grgur Kovač, Jérémy Perez, Rémy Portelas et al.
- Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization ↗Manato Tajiri, Michimasa Inaba
- Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction ↗Fatemeh Haji, Mazal Bethany, Cho-Yu Jason Chiang et al.
- Refusal-Aware Red Teaming: Exposing Inconsistency in Safety Evaluations ↗Yongkang Chen, Xiaohu Du, Xiaotian Zou et al.
- Reliable and Cost-Effective Exploratory Data Analysis via Graph-Guided RAG ↗Mossad Helali, Yutai Luo, Tae Jun Ham et al.
- ResearStudio: A Human-intervenable Framework for Building Controllable Deep Research Agents ↗Linyi Yang, Yixuan Weng · System Demonstrations
- Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models ↗Hao Yang, Lizhen Qu, Ehsan Shareghi et al.
- Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences ↗Thomas Hikaru Clark, Jacob Hoover Vigly, Edward Gibson et al.
- Rethinking Backdoor Detection Evaluation for Language Models ↗Jun Yan, Wenjie Jacky Mo, Xiang Ren et al.
- Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding ↗Congchi Yin, Qian Yu, Zhiwei Fang et al.
- Rethinking Text-based Protein Understanding: Retrieval or LLM? ↗Juntong Wu, Zijing Liu, He Cao et al.
- Retrieval Enhanced Feedback via In-context Neural Error-book ↗Jongyeop Hyun, Bumsoo Kim
- Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? ↗Siqi Shen, Mehar Singh, Lajanugen Logeswaran et al.
- Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner ↗Bolian Li, Yanran Wu, Xinyu Luo et al.
- Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs ↗Daehoon Gwak, Minseo Jung, Junwoo Park et al.
- RoDEval: A Robust Word Sense Disambiguation Evaluation Framework for Large Language Models ↗Luyang Zhang, Shuaimin Li, Yishuo Li et al.
- Robust Native Language Identification through Agentic Decomposition ↗Ahmet Yavuz Uluslu, Tannon Kew, Tilia Ellendorff et al.
- Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection ↗Juyoung Han, Hyunsun Hwang, Changki Lee
- SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models ↗Peng Ding, Wen Sun, Dailin Li et al.
- SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs ↗Yuanyang Yin, Yaqi Zhao, Yajie Zhang et al.
- SEAL: Structure and Element Aware Learning Improves Long Structured Document Retrieval ↗Xinhao Huang, Zhibo Ren, Yipeng Yu et al.
- SEARA: An Automated Approach for Obtaining Optimal Retrievers ↗Zou Yuheng, Wang Yiran Yiran, Tian Yuzhu et al. · Industry Track
- SEPS: A Separability Measure for Robust Unlearning in LLMs ↗Wonje Jeung, Sangyeon Yoon, Albert No
- SFAL: Semantic-Functional Alignment Scores for Distributional Evaluation of Auto-Interpretability in Sparse Autoencoders ↗Fabio Mercorio, Filippo Pallucchini, Daniele Potertì et al. · Industry Track
- SHIFT: Selected Helpful Informative Frame for Video-guided Machine Translation ↗Boyu Guan, Chuang Han, Yining Zhang et al.
- SLlama: Parameter-Efficient Language Model Architecture for Enhanced Linguistic Competence Under Strict Data Constraints ↗Victor Adelakun Omolaoye, Babajide Alamu Owoyele, Gerard de Melo
- SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models ↗Hongyuan Lu, Zixuan Li, Zefan Zhang et al.
- SMART: Scalable Multilingual Approach for a Robust TOD System ↗Karan Malhotra, Arihant Jain, Purav Aggarwal et al. · Industry Track
- SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression ↗Biao Zhang, Lixin Chen, Tong Liu et al.
- SOLAR: Towards Characterizing Subjectivity of Individuals through Modeling Value Conflicts and Trade-offs ↗Younghun Lee, Dan Goldwasser
- SPE Attention: Making Attention Equivariant to Semantic-Preserving Permutation for Code Processing ↗Chengyu Jiao, Shuhao Chen, Yu Zhang
- SPaRC: A Spatial Pathfinding Reasoning Challenge ↗Lars Benedikt Kaesberg, Jan Philip Wahle, Terry Ruas et al.
- STACKFEED: Structured Textual Actor-Critic Knowledge base editing with FEEDback ↗Shashank Kirtania, Naman Gupta, Priyanshu Gupta et al. · Industry Track
- STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment ↗Jiaqian Li, Qisheng Hu, Jing Li et al.
- STARQA: A Question Answering Dataset for Complex Analytical Reasoning over Structured Databases ↗Mounica Maddela, Lingjue Xie, Daniel Preotiuc-Pietro et al.
- STREAQ: Selective Tiered Routing for Effective and Affordable Contact Center Quality Assurance ↗Prajwal Sood, Rajdeep Agrawal, Mayank Sati et al. · Industry Track
- SUA: Stealthy Multimodal Large Language Model Unlearning Attack ↗Xianren Zhang, Hui Liu, Delvin Ce Zhang et al.
- SUE: Sparsity-based Uncertainty Estimation via Sparse Dictionary Learning ↗Tamás Ficsor, Gábor Berend
- SWAN: An Efficient and Scalable Approach for Long-Context Language Modeling ↗Krishna C Puvvada, Faisal Ladhak, Santiago Akle Serano et al.
- SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks ↗Adamenko Pavel, Ivanov Mikhail, Aidar Valeev et al. · System Demonstrations
- SYNC: A Synthetic Long-Context Understanding Benchmark for Controlled Comparisons of Model Capabilities ↗Shuyang Cao, Kaijian Zou, Lu Wang
- SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning ↗Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa et al.
- SafeScientist: Enhancing AI Scientist Safety for Risk-Aware Scientific Discovery ↗Kunlun Zhu, Jiaxun Zhang, Ziheng Qi et al.
- Sanskrit Voyager: Unified Web Platform for Interactive Reading and Linguistic Analysis of Sanskrit Texts ↗Giacomo De Luca, Danilo Croce, Roberto Basili · System Demonstrations
- Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination ↗Zhongyi Ye, Weitai Zhang, Xinyuan Zhou et al.
- Scalable and Cost Effective High-Cardinality Classification with LLMs via Multi-View Label Representations and Retrieval Augmentation ↗Anup Pattnaik, Sasanka Vutla, Hamvir Dev et al. · Industry Track
- Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration ↗Weicheng Ma, John J. Guerrerio, Soroush Vosoughi
- Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems ↗Kayhan Behdin, Ata Fatahibaarzi, Qingquan Song et al. · Industry Track
- Scaling Up Temporal Domain Generalization via Temporal Experts Averaging ↗Aoming Liu, Kevin Miller, Venkatesh Saligrama et al.
- SciClaims: An End-to-End Generative System for Biomedical Claim Analysis ↗Raúl Ortega, Jose Manuel Gomez-Perez · System Demonstrations
- SciEvent: Benchmarking Multi-domain Scientific Event Extraction ↗Bofu Dong, Pritesh Shah, Sumedh Sonawane et al.
- SciSketch: An Open-source Framework for Automated Schematic Diagram Generation in Scientific Papers ↗Zihang Wang, Yilun Zhao, Kaiyan Zhang et al. · System Demonstrations
- SeMob: Semantic Synthesis for Dynamic Urban Mobility Prediction ↗Runfei Chen, Shuyang Jiang, Wei Huang
- Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty ↗Peilin Wu, Mian Zhang, Xinlu Zhang et al.
- Searching for the Most Human-like Emergent Language ↗Brendon Boldt, David R. Mortensen
- Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors ↗Xiangchen Wang, Jinrui Zhang, Teng Wang et al.
- Seeing the Same Story Differently: Framing-Divergent Event Coreference for Computational Framing Analysis ↗Jin Zhao, Xinrui Hu, Nianwen Xue
- Selective Preference Optimization via Token-Level Reward Function Estimation ↗Kailai Yang, Zhiwei Liu, Qianqian Xie et al.
- Self-Critique and Refinement for Faithful Natural Language Explanations ↗Yingming Wang, Pepa Atanasova
- SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation ↗Qian Dong, Jia Chen, Qingyao Ai et al.
- Semantic Agreement Enables Efficient Open-Ended LLM Cascades ↗Duncan Soiffer, Steven Kolawole, Virginia Smith · Industry Track
- Semantic Networks Extracted from Students' Think-Aloud Data are Correlated with Students' Learning Performance ↗Pingjing Yang, Sullam Jeoung, Jennifer Cromley et al.
- Sentence Smith: Controllable Edits for Evaluating Text Embeddings ↗Hongji Li, Andrianos Michail, Reto Gubelmann et al.
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