EMNLP 2025: all accepted papers
- Towards a Unified Paradigm of Concept Editing in Large Language Models ↗Zhuowen Han, Xinwei Wu, Dan Shi et al.
- Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models ↗Tomohiro Sawada, Kartik Goyal
- Training LLMs to be Better Text Embedders through Bidirectional Reconstruction ↗Chang Su, Dengliang Shi, Siyuan Huang et al.
- Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models ↗Yilong Xu, Jinhua Gao, Xiaoming Yu et al.
- Translating Domain-Specific Terminology in Typologically-Diverse Languages: A Study in Tax and Financial Education ↗Arturo Oncevay, Elena Kochkina, Keshav Ramani et al.
- Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses ↗Subin An, Yugyeong Ji, Junyoung Kim et al. · Industry Track
- Transplant Then Regenerate: A New Paradigm for Text Data Augmentation ↗Guangzhan Wang, Hongyu Zhang, Beijun Shen et al.
- TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering ↗Boyi Zhang, Zhuo Liu, Hangfeng He
- TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent ↗Dominik Meier, Jan Philip Wahle, Paul Röttger et al.
- TrojanWave: Exploiting Prompt Learning for Stealthy Backdoor Attacks on Large Audio-Language Models ↗Asif Hanif, Maha Tufail Agro, Fahad Shamshad et al.
- Trojsten Benchmark: Evaluating LLM Problem-Solving in Slovak STEM Competition Problems ↗Adam Zahradník, Marek Suppa
- Truth, Trust, and Trouble: Medical AI on the Edge ↗Mohammad Anas Azeez, Rafiq Ali, Ebad Shabbir et al. · Industry Track
- TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs ↗Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sungmin Kang et al. · System Demonstrations
- Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation ↗Shuyun Yang, Yan Zhang, Zhengmao Ye et al.
- TurBLiMP: A Turkish Benchmark of Linguistic Minimal PairsEzgi Başar, Francesca Padovani, Jaap Jumelet et al.our summary
- TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route ↗Hongyi Luo, Qing Cheng, Daniel Matos et al.
- TurnaboutLLM: A Deductive Reasoning Benchmark from Detective Games ↗Yuan Yuan, Muyu He, Muhammad Adil Shahid et al.
- Turning Logic Against Itself: Probing Model Defenses Through Contrastive Questions ↗Rachneet Singh Sachdeva, Rima Hazra, Iryna Gurevych
- Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time ↗Jiazheng Li, Yuxiang Zhou, Junru Lu et al.
- Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models ↗Alessandro De Bellis, Salvatore Bufi, Giovanni Servedio et al.
- UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action Generation ↗Yuanzhang Lin, Zhe Zhang, He Rui et al.
- UNComp: Can Matrix Entropy Uncover Sparsity? –- A Compressor Design from an Uncertainty-Aware Perspective ↗Jing Xiong, Jianghan Shen, Fanghua Ye et al.
- Uncovering Argumentative Flow: A Question-Focus Discourse Structuring Framework ↗Yini Wang, Xian Zhou, Shengan Zheng et al.
- Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models ↗Bajian Xiang, Shuaijiang Zhao, Tingwei Guo et al.
- Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory ↗Ming Li, Nan Zhang, Chenrui Fan et al.
- UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets ↗Pengyu Wang, Shaojun Zhou, Chenkun Tan et al.
- Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem ↗Yubo Wang, Ping Nie, Kai Zou et al.
- Unpacking \textitLet Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning ↗Wesley Scivetti, Tatsuya Aoyama, Ethan Wilcox et al.
- Unstructured Evidence Attribution for Long Context Query Focused Summarization ↗Dustin Wright, Zain Muhammad Mujahid, Lu Wang et al.
- Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement ↗Gabriele Sarti, Vilém Zouhar, Malvina Nissim et al.
- Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens ↗Sohee Kim, Soohyun Ryu, Joonhyung Park et al.
- V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat ↗Qi Lin, Weikai Xu, Lisi Chen et al.
- VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning ↗Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu et al.
- VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions ↗Kazuki Matsuda, Yuiga Wada, Shinnosuke Hirano et al.
- VENUS: A VLLM-driven Video Content Discovery System for Real Application Scenarios ↗Minyi Zhao, Yi Liu, Jianfeng Wen et al. · Industry Track
- VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data ↗Tingqiao Xu, Ziru Zeng, Jiayu Chen
- VISaGE: Understanding Visual Generics and Exceptions ↗Stella Frank, Emily Allaway
- VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making ↗Zuojin Tang, Bin Hu, Chenyang Zhao et al.
- VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM ↗Lesheng Jin, Zhenyuan Ruan, Haohui Mai et al.
- VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs ↗Keer Lu, Keshi Zhao, Zhuoran Zhang et al.
- ViPE: Visual Perception in Parameter Space for Efficient Video-Language Understanding ↗Shichen Lu, Tongtian Yue, Longteng Guo et al.
- Viability of Machine Translation for Healthcare in Low-Resourced Languages ↗Hellina Hailu Nigatu, Nikita Mehandru, Negasi Haile Abadi et al.
- Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents ↗Xueqiao Zhang, Chao Zhang, Jingtao Xu et al.
- VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms ↗Seungwon Lim, Sungwoong Kim, Jihwan Yu et al.
- VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft ↗Honghao Fu, Junlong Ren, Qi Chai et al.
- Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection ↗Miao Ziqi, Yi Ding, Lijun Li et al.
- VoiceBBQ: Investigating Effect of Content and Acoustics in Social Bias of Spoken Language Model ↗Junhyuk Choi, Ro-hoon Oh, Jihwan Seol et al.
- WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai ↗Peerat Limkonchotiwat, Pume Tuchinda, Lalita Lowphansirikul et al.
- Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings ↗Safal Shrestha, Minwu Kim, Aadim Nepal et al.
- Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments ↗Muhammad Ali, Salman Khan
- Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models ↗Ming Wang, Miao Zhang, Xuebo Liu et al.
- Weights-Rotated Preference Optimization for Large Language Models ↗Chenxu Yang, Ruipeng Jia, Mingyu Zheng et al.
- What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning ↗Gangwei Jiang, Yahui Liu, Zhaoyi Li et al.
- What's in a prompt? Language models encode literary style in prompt embeddings ↗Raphaël Sarfati, Haley Moller, Toni J.B. Liu et al.
- When Annotators Disagree, Topology Explains: Mapper, a Topological Tool for Exploring Text Embedding Geometry and Ambiguity ↗Nisrine Rair, Alban Goupil, Valeriu Vrabie et al.
- When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs ↗Abhirama Subramanyam Penamakuri, Navlika Singh, Piyush Arora et al.
- When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models ↗Yingming Zheng, Hanqi Li, Kai Yu et al.
- When Truthful Representations Flip Under Deceptive Instructions? ↗Xianxuan Long, Yao Fu, Runchao Li et al.
- Where Confabulation Lives: Latent Feature Discovery in LLMs ↗Thibaud Ardoin, Yi Cai, Gerhard Wunder
- Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning ↗Kwesi Adu Cobbina, Tianyi Zhou
- Which Word Orders Facilitate Length Generalization in LMs? An Investigation with GCG-Based Artificial Languages ↗Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe
- Whisper-UT: A Unified Translation Framework for Speech and Text ↗Cihan Xiao, Matthew Wiesner, Debashish Chakraborty et al. · 🏆 SAC Highlight Award
- Who Holds the Pen? Caricature and Perspective in LLM Retellings of History ↗Lubna Zahan Lamia, Mabsur Fatin Bin Hossain, Md Mosaddek Khan · 🏆 SAC Highlight Award
- Why Do Some Inputs Break Low-Bit LLM Quantization? ↗Ting-Yun Chang, Muru Zhang, Jesse Thomason et al.
- Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning ↗Chengfeng Zhao, Shizhu He, Shanshan Jiang et al.
- Women, Infamous, and Exotic Beings: A Comparative Study of Honorific Usages in Wikipedia and LLMs for Bengali and Hindi ↗Sourabrata Mukherjee, Atharva Mehta, Sougata Saha et al.
- Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly ↗Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le et al.
- Words Like Knives: Backstory-Personalized Modeling and Detection of Violent Communication ↗Jocelyn J Shen, Akhila Yerukola, Xuhui Zhou et al.
- XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression ↗Haoqi Yang, Yao Yao, Zuchao Li et al.
- You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models ↗Paweł Mąka, Yusuf Can Semerci, Jan Scholtes et al.
- Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors ↗Hao Fang, Jiawei Kong, Tianqu Zhuang et al.
- Z1: Efficient Test-time Scaling with Code ↗Zhaojian Yu, Yinghao Wu, Yilun Zhao et al. · Industry Track
- \ensuremath<SYNTACT\ensuremath>: Structuring Your Natural Language SOPs into Tailored Ambiguity-Resolved Code Templates ↗Sachin Kumar Giroh, Pushpendu Ghosh, Aryan Jain et al. · Industry Track
- “Feels Feminine to Me”: Understanding Perceived Gendered Style through Human Annotations ↗Hongyu Chen, Neele Falk, Michael Roth et al.
- “Mm, Wat?” Detecting Other-initiated Repair Requests in Dialogue ↗Anh Ha Ngo, Nicolas Rollet, Catherine Pelachaud et al.
- fLSA: Learning Semantic Structures in Document Collections Using Foundation Models ↗Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
- iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models ↗Michel Olvera, Changhong Wang, Paraskevas Stamatiadis et al.
- iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use ↗Yirong Zeng, Xiao Ding, Yuxian Wang et al.
- ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretraining ↗Seonwu Kim, Yohan Na, Kihun Kim et al. · Industry Track
- o-MEGA: Optimized Methods for Explanation Generation and Analysis ↗Ľuboš Kriš, Jaroslav Kopčan, Qiwei Peng et al. · System Demonstrations
- reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs ↗Zhaofeng Wu, Michihiro Yasunaga, Andrew Cohen et al.
- seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMs ↗Mohammad Ramezanali, Mo Vazifeh, Paolo Santi
- xCoRe: Cross-context Coreference Resolution ↗Giuliano Martinelli, Bruno Gatti, Roberto Navigli
- zFLoRA: Zero-Latency Fused Low-Rank Adapters ↗Dhananjaya Gowda, Seoha Song, Harshith Goka et al.
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