EMNLP 2025: all accepted papers
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- Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions ↗Nicholas Deas, Kathleen McKeown
- AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification ↗Xuan Zhang, Yongliang Shen, Zhe Zheng et al.
- Assessing French Readability for Adults with Low Literacy: A Global and Local Perspective ↗Wafa Aissa, Thibault Bañeras-Roux, Elodie Vanzeveren et al.
- Assessing effective de-escalation of crisis conversations using transformer-based models and trend statistics ↗Ignacio J. Tripodi, Greg Buda, Margaret Meagher et al.
- AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity ↗Yifan Liu, Wenkuan Zhao, Shanshan Zhong et al.
- Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following ↗Yueen Ma, DaFeng Chi, Shiguang Wu et al.
- Audio Query Handling System with Integrated Expert Models and Contextual Understanding ↗Naveen Vakada, Arvind Krishna Sridhar, Yinyi Guo et al. · Industry Track
- Augmenting Compliance-Guaranteed Customer Service Chatbots: Context-Aware Knowledge Expansion with Large Language Models ↗Mengze Hong, Chen Jason Zhang, Di Jiang et al. · Industry Track
- Augmenting Multi-Agent Communication with State Delta Trajectory ↗Yichen Tang, Weihang Su, Yujia Zhou et al.
- Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks ↗Yuki Ichihara, Yuu Jinnai · Industry Track
- AutoDSPy: Automating Modular Prompt Design with Reinforcement Learning for Small and Large Language Models ↗Nafew Azim, Abrar Ur Alam, Hasan Bin Omar et al. · Industry Track
- AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment ↗Xiaochong Lan, Jie Feng, Yinxing Liu et al. · Industry Track
- Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions ↗Lan Zhang, Marco Valentino, Andre Freitas · 🏆 Best Resource Paper
- Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach ↗Imene Kolli, Ario Saeid Vaghefi, Chiara Colesanti Senni et al. · System Demonstrations
- Automotive Document Labeling Using Large Language Models ↗Dang Van Thin, Cuong Xuan Chu, Christian Graf et al. · Industry Track
- Avoidance Decoding for Diverse Multi-Branch Story Generation ↗Kyeongman Park, Nakyeong Yang, Kyomin Jung
- BANMIME : Misogyny Detection with Metaphor Explanation on Bangla Memes ↗Md Ayon Mia, Akm Moshiur Rahman Mazumder, Khadiza Sultana Sayma et al.
- BAREC Demo: Resources and Tools for Sentence-level Arabic Readability Assessment ↗Kinda Altarbouch, Khalid N. Elmadani, Ossama Obeid et al. · System Demonstrations
- BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation ↗Tianhao Zhang, Zhecheng Sheng, Zhexiao Lin et al.
- BIOPSY - Biomarkers In Oncology: Pipeline for Structured Yielding ↗Sanya A. Chetwani, Jaseem Mahmmdla · Industry Track
- BIRD: Bronze Inscription Restoration and Dating ↗Wenjie Hua, Hoang H Nguyen, Gangyan Ge
- BOUQuET : dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation ↗Pierre Andrews, Mikel Artetxe, Mariano Coria Meglioli et al.
- BTS: Harmonizing Specialized Experts into a Generalist LLM ↗Qizhen Zhang, Prajjwal Bhargava, Chloe Bi et al.
- BabyLM's First Constructions: Causal interventions provide a signal of learning ↗Joshua Rozner, Leonie Weissweiler, Cory Shain
- Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models ↗Masahiro Kaneko, Alham Fikri Aji, Timothy Baldwin
- Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models ↗Benyamin Jamialahmadi, Parsa Kavehzadeh, Mehdi Rezagholizadeh et al.
- Batched Self-Consistency Improves LLM Relevance Assessment and Ranking ↗Anton Korikov, Pan Du, Scott Sanner et al.
- BeSimulator: A Large Language Model Powered Text-based Behavior Simulator ↗Jianan Wang, Bin Li, Jingtao Qi et al.
- Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks ↗Dongjun Kim, Gyuho Shim, Yongchan Chun et al.
- Benchmarking Debiasing Methods for LLM-based Parameter Estimates ↗Nicolas Audinet de Pieuchon, Adel Daoud, Connor Thomas Jerzak et al.
- Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and EleganceAndong Chen, Lianzhang Lou, Kehai Chen et al.our summary
- Beyond Averages: Learning with Annotator Disagreement in STS ↗Alejandro Benito-Santos, Adrian Ghajari
- Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning ↗Qianxi He, Qingyu Ren, Shanzhe Lei et al.
- Beyond Demonstrations: Dynamic Vector Construction from Latent Representations ↗Wang Cai, Hsiu-Yuan Huang, Zhixiang Wang et al.
- Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression ↗Yi Zhang, Kai Zhang, Zheyang Li et al. · Industry Track
- Beyond Hate Speech: NLP's Challenges and Opportunities in Uncovering Dehumanizing Language ↗Hamidreza Saffari, Mohammadamin Shafiei, Hezhao Zhang et al.
- Beyond Human Labels: A Multi-Linguistic Auto-Generated Benchmark for Evaluating Large Language Models on Resume Parsing ↗Zijian Ling, Han Zhang, Jiahao Cui et al.
- Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs ↗Zhang Zhang, Guhao Feng, Jian Guan et al.
- Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents ↗Yejin Yoon, Yuri Son, Namyoung So et al.
- Beyond WER: Probing Whisper's Sub-token Decoder Across Diverse Language Resource Levels ↗Siyu Liang, Nicolas Ballier, Gina-Anne Levow et al. · 🏆 SAC Highlight Award
- Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing ↗Sabri Boughorbel, Fahim Dalvi, Nadir Durrani et al.
- Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment ↗Ahmed Karim, Qiao Wang, Zheng Yuan
- Bidirectional Reasoning Supervision for Multilingual Financial Decision Making ↗Muhammad Rafsan Kabir, Jawad Ibn Ahad, Robin Krambroeckers et al. · Industry Track
- Blind Men and the Elephant: Diverse Perspectives on Gender Stereotypes in Benchmark Datasets ↗Mahdi Zakizadeh, Mohammad Taher Pilehvar
- Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models ↗Qihang Ma, Shengyu Li, Jie Tang et al.
- Bratly: A Python Extension for BRAT Functionalities ↗Jamil Zaghir, Jean-Philippe Goldman, Nikola Bjelogrlic et al. · System Demonstrations
- Breaking the Noise Barrier: LLM-Guided Semantic Filtering and Enhancement for Multi-Modal Entity Alignment ↗Chenglong Lu, Chenxiao Li, Jingwei Cheng et al.
- Bridging the Gap Between Molecule and Textual Descriptions via Substructure-aware Alignment ↗Hyuntae Park, Yeachan Kim, SangKeun Lee
- Building Data-Driven Occupation Taxonomies: A Bottom-Up Multi-Stage Approach via Semantic Clustering and Multi-Agent Collaboration ↗Nan Li, Bo Kang, Tijl De Bie · Industry Track
- Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information ↗Hojun Cho, Donghu Kim, Soyoung Yang et al. · Industry Track
- Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency ↗Svetlana Maslenkova, Clement Christophe, Marco AF Pimentel et al.
- BullyBench: Youth & Experts-in-the-loop Framework for Intrinsic and Extrinsic Cyberbullying NLP Benchmarking ↗Kanishk Verma, Sri Balaaji Natarajan Kalaivendan, Arefeh Kazemi et al. · Industry Track
- C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations ↗Chengqian Ma, Wei Tao, Steven Y. Guo
- CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability ↗Han Peng, Jinhao Jiang, Zican Dong et al.
- CAIR: Counterfactual-based Agent Influence Ranker for Agentic AI Workflows ↗Amit Giloni, Chiara Picardi, Roy Betser et al.
- CAPSTONE: Composable Attribute-Prompted Scene Translation for Zero-Shot Vision–Language Reasoning ↗Md. Ismail Hossain, Shahriyar Zaman Ridoy, Moshiur Farazi et al. · Industry Track
- CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement ↗Jiyuan Liu, Jielin Song, Yunhe Pang et al.
- CARE: Multilingual Human Preference Learning for Cultural Awareness ↗Geyang Guo, Tarek Naous, Hiromi Wakaki et al.
- CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning ↗Wenqiao Zhu, Ji Liu, Rongjunchen Zhang et al.
- CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment ↗Nura Aljaafari, Danilo Carvalho, Andre Freitas
- CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments ↗Rishika Bhagwatkar, Syrielle Montariol, Angelika Romanou et al.
- CBP-Tuning: Efficient Local Customization for Black-box Large Language Models ↗Jiaxuan Zhao, Naibin Gu, Yuchen Feng et al.
- CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs ↗Jinyoung Kim, Ji Won Yoon
- CIE: Controlling Language Model Text Generations Using Continuous Signals ↗Vinay Samuel, Harshita Diddee, Yiming Zhang et al.
- CIFLEX: Contextual Instruction Flow for Sub-task Execution in Multi-Turn Interactions with a Single On-Device LLM ↗Juntae Lee, Jihwan Bang, Seunghan Yang et al.
- CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing ↗Boyu Zhang, Ping He, Tianyu Du et al.
- COAS2W: A Chinese Older-Adults Spoken-to-Written Transformation Corpus with Context Awareness ↗Chun Kang, Zhigu Qian, Zhen Fu et al.
- COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models ↗Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
- COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier ↗Gaoxiang Luo, Aryan Deshwal
- COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection ↗Jaewon Cheon, Pilsung Kang
- CR4-NarrEmote: An Open Vocabulary Dataset of Narrative Emotions Derived Using Citizen Science ↗Andrew Piper, Robert Budac
- CRAB: A Benchmark for Evaluating Curation of Retrieval-Augmented LLMs in Biomedicine ↗Hanmeng Zhong, Linqing Chen, Wentao Wu et al. · Industry Track
- CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor ↗Zhenhua Xu, Xixiang Zhao, Xubin Yue et al.
- CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency ↗Zhanming Shen, Hao Chen, Yulei Tang et al.
- Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains ↗Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma
- Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Reasoning ↗Mingyuan Wu, Jize Jiang, Haozhen Zheng et al.
- Cacheback: Speculative Decoding With Nothing But Cache ↗Zhiyao Ma, In Gim, Lin Zhong
- CafGa: Customizing Feature Attributions to Explain Language Models ↗Alan David Boyle, Furui Cheng, Vilém Zouhar et al. · System Demonstrations
- Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification ↗Weiyi Yang, Richong Zhang, Junfan Chen et al.
- Can LLMs Narrate Tabular Data? An Evaluation Framework for Natural Language Representations of Text-to-SQL System Outputs ↗Jyotika Singh, Weiyi Sun, Amit Agarwal et al. · Industry Track
- Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation ↗Ziling Cheng, Meng Cao, Leila Pishdad et al.
- Can LLMs be Literary Companions?: Analysing LLMs on Bengali Figures of Speech Identification ↗Sourav Das, Kripabandhu Ghosh
- Can LLMs simulate the same correct solutions to free-response math problems as real students? ↗Yuya Asano, Diane Litman, Erin Walker
- Can Large Language Models Tackle Graph Partitioning? ↗Yiheng Wu, Ningchao Ge, Yanmin Li et al.
- Can Large Language Models Translate Spoken-Only Languages through International Phonetic Transcription? ↗Jiale Chen, Xuelian Dong, Qihao Yang et al.
- Can Large Language Models Translate Unseen Languages in Underrepresented Scripts? ↗Dianqing Lin, Aruukhan, Hongxu Hou et al.
- Can Large Language Models Win the International Mathematical Games? ↗Alessio Cocchieri, Luca Ragazzi, Giuseppe Tagliavini et al.
- Can Vision-Language Models Solve Visual Math Equations? ↗Monjoy Narayan Choudhury, Junling Wang, Yifan Hou et al.
- Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness ↗Zihan Liang, Ziwen Pan, Ruoxuan Xiong
- Certified Mitigation of Worst-Case LLM Copyright Infringement ↗Jingyu Zhang, Jiacan Yu, Marc Marone et al.
- Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions ↗Yijun Shen, Delong Chen, Fan Liu et al.
- Chart2Code53: A Large-Scale Diverse and Complex Dataset for Enhancing Chart-to-Code Generation ↗Tianhao Niu, Yiming Cui, Baoxin Wang et al.
- Child-Directed Language Does Not Consistently Boost Syntax Learning in Language ModelsFrancesca Padovani, Jaap Jumelet, Yevgen Matusevych et al.our summary
- Circuit Complexity Bounds for RoPE-based Transformer Architecture ↗Bo Chen, Xiaoyu Li, Yingyu Liang et al.
- Classifier-Augmented Generation for Structured Workflow Prediction ↗Thomas Gschwind, Shramona Chakraborty, Nitin Gupta et al. · Industry Track
- Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification ↗Chenfei Xiong, Jingwei Ni, Yu Fan et al. · System Demonstrations
- Co-Eval: Augmenting LLM-based Evaluation with Machine Metrics ↗Ling-I Wu, Weijie Wu, Minyu Chen et al.
- Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering ↗Zetong Li, Qinliang Su, Minhua Huang et al.
- CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples ↗Kyohoon Jin, Juhwan Choi, JungMin Yun et al.
- CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs ↗Nafiseh Nikeghbal, Amir Hossein Kargaran, Jana Diesner
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