EMNLP 2025: all accepted papers
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- Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification ↗Ya Su, Hu Zhang, Yue Fan et al.
- Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation ↗Junzhuo Li, Bo Wang, Xiuze Zhou et al.
- Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning ↗Mohammad Amin Ghanizadeh, Mohammad Javad Dousti
- Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization ↗Mahmud Wasif Nafee, Maiqi Jiang, Haipeng Chen et al.
- Dyve: Thinking Fast and Slow for Dynamic Process Verification ↗Jianyuan Zhong, Zeju Li, Zhijian Xu et al.
- E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning ↗Zihan Liao, Jun Wang, Hang Yu et al.
- ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training ↗Maryam Dialameh, Rezaul Karim, Hossein Rajabzadeh et al. · Industry Track
- ECO Decoding: Entropy-Based Control for Controllability and Fluency in Controllable Dialogue Generation ↗Seungmin Shin, Dooyoung Kim, Youngjoong Ko
- EQA-RM: A Generative Embodied Reward Model with Test-time Scaling ↗Yuhang Chen, Zhen Tan, Tianlong Chen
- Easy as PIE? Identifying Multi-Word Expressions with LLMs ↗Kai Golan Hashiloni, Ofri Hefetz, Kfir Bar
- EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models ↗Ziwen Xu, Shuxun Wang, Kewei Xu et al. · System Demonstrations
- Editing Across Languages: A Survey of Multilingual Knowledge Editing ↗Nadir Durrani, Basel Mousi, Fahim Dalvi
- EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs ↗Numaan Naeem, Abdellah El Mekki, Muhammad Abdul-Mageed
- EduVidQA: Generating and Evaluating Long-form Answers to Student Questions based on Lecture Videos ↗Sourjyadip Ray, Shubham Sharma, Somak Aditya et al.
- Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers ↗Zhiyuan Peng, Ting-Ruen Wei, Tingyu Song et al. · Industry Track
- Efficient Inference for Large Language Models –Algorithm, Model, and System ↗Xuefei Ning, Guohao Dai, Haoli Bai et al. · Tutorial Abstracts
- Efficient Real-time Refinement of Language Model Text Generation ↗Joonho Ko, Jinheon Baek, Sung Ju Hwang
- Efficient and Versatile Model for Multilingual Information Retrieval of Islamic Text: Development and Deployment in Real-World Scenarios ↗Vera Pavlova, Mohammed Makhlouf · Industry Track
- Eliciting Implicit Acoustic Styles from Open-domain Instructions to Facilitate Fine-grained Controllable Generation of Speech ↗Jianxing Yu, Gou Zihao, Chen Li et al.
- Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation ↗Chaojun Nie, Jun Zhou, Guanxiang Wang et al.
- Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications ↗Jean-Philippe Corbeil, Asma Ben Abacha, George Michalopoulos et al. · Industry Track
- Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework ↗Qian Wan, Wangzi Shi, Jintian Feng et al.
- EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation ↗Sen Yang, Yu Bao, Yu Lu et al.
- Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance ↗Yufei He, Ruoyu Li, Alex Chen et al. · Industry Track
- End-to-End Aspect-Guided Review Summarization at Scale ↗Ilya Boytsov, Vinny DeGenova, Mikhail Balyasin et al. · Industry Track
- Enhanced Noun-Noun Compound Interpretation through Textual Enrichment ↗Bingyang Ye, Jingxuan Tu, James Pustejovsky
- Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis ↗Yiru Tang, Kun Zhou, Yingqian Min et al.
- Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs ↗Mengqi Liao, Xiangyu Xi, Chen Ruinian et al.
- Enhancing LLM Text Detection with Retrieved Contexts and Logits Distribution Consistency ↗Zhaoheng Huang, Yutao Zhu, Ji-Rong Wen et al.
- Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision ↗Xingwei Tan, Marco Valentino, Mahmud Elahi Akhter et al.
- Enhancing Persuasive Dialogue Agents by Synthesizing Cross-Disciplinary Communication Strategies ↗Shinnosuke Nozue, Yuto Nakano, Yotaro Watanabe et al. · Industry Track
- Enhancing RLHF with Human Gaze Modeling ↗Karim Galliamov, Ivan Titov, Ilya Pershin
- Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions ↗Jihang Li, Bing Xu, Zulong Chen et al. · Industry Track
- Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching ↗Songze Li, Zhiqiang Liu, Zhengke Gui et al.
- EuroGEST: Investigating gender stereotypes in multilingual language models ↗Jacqueline Rowe, Mateusz Klimaszewski, Liane Guillou et al.
- Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media ↗Yujie Wang, Yunwei Zhao, Jing Yang et al.
- Evaluating Language Translation Models by Playing Telephone ↗Syeda Jannatus Saba, Steven Skiena
- Evaluating Spatiotemporal Consistency in Automatically Generated Sewing Instructions ↗Luisa Geiger, Mareike Hartmann, Michael Sullivan et al.
- Evaluating Taxonomy Free Character Role Labeling (TF-CRL) in News Stories using Large Language Models ↗David G Hobson, Derek Ruths, Andrew Piper
- Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval ↗Pranjal A Chitale, Bishal Santra, Yashoteja Prabhu et al.
- Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey ↗Katerina Korre, Dimitris Tsirmpas, Nikos Gkoumas et al.
- Evolving Chinese Spelling Correction with Corrector-Verifier Collaboration ↗Linfeng Liu, Hongqiu Wu, Hai Zhao
- Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation ↗Dingwei Chen, Ziqiang Liu, Feiteng Fang et al.
- Experience Report: Implementing Machine Translation in a Regulated Industry ↗Marco Zocca, Per Fallgren, David Buffoni · Industry Track
- Explaining Differences Between Model Pairs in Natural Language through Sample Learning ↗Advaith Malladi, Rakesh R Menon, Yuvraj Jain et al.
- Explicit Learning and the LLM in Machine Translation ↗Malik Marmonier, Rachel Bawden, Benoît Sagot
- Exploring Artificial Image Generation for Stance Detection ↗Zhengkang Zhang, Zhongqing Wang, Guodong Zhou
- Exploring the Hidden Capacity of LLMs for One-Step Text Generation ↗Gleb Mezentsev, Ivan Oseledets
- Exploring the Limitations of Mamba in COPY and CoT Reasoning ↗Ruifeng Ren, Zhicong Li, Yong Liu
- Extending Automatic Machine Translation Evaluation to Book-Length Documents ↗Kuang-Da Wang, Shuoyang Ding, Chao-Han Huck Yang et al.
- Extracting Linguistic Information from Large Language Models: Syntactic Relations and Derivational Knowledge ↗Tsedeniya Kinfe Temesgen, Marion Di Marco, Alexander Fraser
- FABRIC: Fully-Automated Broad Intent Categorization in E-commerce ↗Anna Tigunova, Philipp Schmidt, Damla Ezgi Akcora · Industry Track
- FANS: Formal Answer Selection for LLM Natural Language Math Reasoning Using Lean4 ↗Jiarui Yao, Ruida Wang, Tong Zhang
- FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback ↗Youquan Li, Miao Zheng, Fan Yang et al.
- FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining ↗Xu Liangyu, Xuemiao Zhang, Feiyu Duan et al.
- FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows ↗Evelyn Duesterwald, Siyu Huo, Vatche Isahagian et al. · Industry Track
- FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference ↗Yu-Chen Lu, Chong-Yan Chen, Chi-Chih Chang et al.
- FQ-Eval: Building Evaluation Dataset for User-centered Follow-up Question Generation ↗Sanghyun Seo, Bumsoo Kang, Dahm Lee et al. · Industry Track
- FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method ↗Yuheng Li, Jiechao Gao, Wei Han et al. · Industry Track
- FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data ↗Thibaut Thonet, Germán Kruszewski, Jos Rozen et al.
- FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models ↗Yanling Wang, Haoyang Li, Hao Zou et al.
- Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning ↗Jingyang Lin, Andy Wong, Tian Xia et al.
- FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge ↗Nakyeong Yang, Minsung Kim, Seunghyun Yoon et al.
- FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data ↗WenHao Wang, Zijie Yu, Rui Ye et al.
- Few-Shot Learning Translation from New Languages ↗Carlos Mullov, Alexander Waibel
- Few-Shot Open-Set Classification via Reasoning-Aware Decomposition ↗Avyav Kumar Singh, Helen Yannakoudakis
- FillerSpeech: Towards Human-Like Text-to-Speech Synthesis with Filler Insertion and Filler Style Control ↗Seung-Bin Kim, Jun-Hyeok Cha, Hyung-Seok Oh et al.
- Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin ↗Soumick Sarker, Abhijit Kumar Rai · Industry Track
- Financial Risk Relation Identification through Dual-view Adaptation ↗Wei-Ning Chiu, Yu-Hsiang Wang, Andy Hsiao et al.
- Finding Diamonds in Conversation Haystacks: A Benchmark for Conversational Data Retrieval ↗Yohan Lee, Yongwoo Song, Sangyeop Kim · Industry Track
- Finding your MUSE: Mining Unexpected Solutions Engine ↗Nir Sweed, Hanit Hakim, Ben Wolfson et al.
- Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs ↗Runyu Peng, Yunhua Zhou, Kai Lv et al.
- FlexDoc: Parameterized Sampling for Diverse Multilingual Synthetic Documents for Training Document Understanding Models ↗Karan Dua, Hitesh Laxmichand Patel, Puneet Mittal et al. · Industry Track
- Flexible-length Text Infilling for Discrete Diffusion Models ↗Andrew Zhang, Anushka Sivakumar, Chia-Wei Tang et al.
- FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks ↗Tanawan Premsri, Parisa Kordjamshidi · 🏆 SAC Highlight Award
- Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation ↗Seungseop Lim, Gibaeg Kim, Wooseok Han et al. · Industry Track
- Frequency & Compositionality in Emergent Communication ↗Jean-Baptiste Sevestre, Emmanuel Dupoux
- Friend or Foe? A Computational Investigation of Semantic False Friends across Romance Languages ↗Ana Sabina Uban, Liviu P Dinu, Ioan-Bogdan Iordache et al.
- From A and B to A+B: Can Large Language Models Solve Compositional Math Problems? ↗Xisheng Xiao, Hanlin Zhao
- From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text ↗Ridwan Mahbub, Mohammed Saidul Islam, Mir Tafseer Nayeem et al.
- From Chat Logs to Collective Insights: Aggregative Question Answering ↗Wentao Zhang, Woojeong Kim, Yuntian Deng
- From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors ↗Maggie Mi, Aline Villavicencio, Nafise Sadat Moosavi
- From Long to Lean: Performance-aware and Adaptive Chain-of-Thought Compression via Multi-round Refinement ↗JianZhi Yan, Le Liu, Youcheng Pan et al.
- From Parameters to Performance: A Data-Driven Study on LLM Structure and Development ↗Suqing Wang, Zuchao Li, Shi Luohe et al.
- From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models ↗Jue Zhang, Qingwei Lin, Saravan Rajmohan et al.
- From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs ↗M. Farid Adilazuarda, Chen Cecilia Liu, Iryna Gurevych et al.
- From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora ↗Yingli Shen, Wen Lai, Shuo Wang et al.
- GAP: a Global Adaptive Pruning Method for Large Language Models ↗Zhihua Ban, Haotian Ma, Siheng Zhang et al.
- GATEAU: Selecting Influential Samples for Long Context Alignment ↗Shuzheng Si, Haozhe Zhao, Gang Chen et al. · 🏆 SAC Highlight Award
- GEAR: A Scalable and Interpretable Evaluation Framework for RAG-Based Car Assistant Systems ↗Niloufar Beyranvand, Hamidreza Dastmalchi, Aijun An et al. · Industry Track
- GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection ↗Melissa Kazemi Rad, Alberto Purpura, Himanshu Kumar et al.
- GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression ↗Kainan Liu, Yong Zhang, Ning Cheng et al.
- GSID: Generative Semantic Indexing for E-Commerce Product Understanding ↗Haiyang Yang, Qinye Xie, Qingheng Zhang et al. · Industry Track
- Generalized Embedding Models for Industry 4.0 Applications ↗Christodoulos Constantinides, Shuxin Lin, Dhaval C Patel · Industry Track
- Generating Fine Details of Entity Interactions ↗Xinyi Gu, Jiayuan Mao · Industry Track
- Generating Spatial Knowledge Graphs from Automotive Diagrams for Question Answering ↗Steve Bakos, Chen Xing, Heidar Davoudi et al. · Industry Track
- Generative Annotation for ASR Named Entity Correction ↗Yuanchang Luo, Daimeng Wei, Shaojun Li et al.
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