EMNLP 2025

4,182 papers

Eliciting Implicit Acoustic Styles from Open-domain Instructions to Facilitate Fine-grained Controllable Generation of Speech

Jianxing Yu, Gou Zihao, Chen Li, Zhisheng Wang, Peiji Yang

Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs

Mahammed Kamruzzaman, Gene Louis Kim

Scaling Rich Style-Prompted Text-to-Speech Datasets

Anuj Diwan, Zhisheng Zheng, David Harwath, Eunsol Choi

FinMTEB: Finance Massive Text Embedding Benchmark

Yixuan Tang, Yi Yang

Dialect-SQL: An Adaptive Framework for Bridging the Dialect Gap in Text-to-SQL

Jie Shi, Xi Cao, Bo Xu, Jiaqing Liang, Yanghua Xiao

A Comprehensive Literary Chinese Reading Comprehension Dataset with an Evidence Curation Based Solution

Dongning Rao, Rongchu Zhou, Peng Chen, Zhihua Jiang

MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models

Zhengyi Zhao, Shubo Zhang, Yuxi Zhang, Yanxi Zhao, Yifan Zhang

WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai

Peerat Limkonchotiwat, Pume Tuchinda, Lalita Lowphansirikul, Surapon Nonesung, Panuthep Tasawong

Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs

Xiaofeng Zhang, Yihao Quan, Chen Shen, Chaochen Gu, Xiaosong Yuan

RiTTA: Modeling Event Relations in Text-to-Audio Generation

Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet

Anchoring-Guidance Fine-Tuning (AnGFT): Elevating Professional Response Quality in Role-Playing Conversational Agents

Qibin Li, Zhen Xu, Shengyuan Bai, Nianmin Yao, Kaili Sun

Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens

Ziyang Ma, Qingyue Yuan, Zhenglin Wang, Deyu Zhou

AROMA: Autonomous Rank-one Matrix Adaptation

Hao Nan Sheng, Zhi-Yong Wang, Hing Cheung So, Mingrui Yang

LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation

Keisuke Kamahori, Jungo Kasai, Noriyuki Kojima, Baris Kasikci

Why Do Some Inputs Break Low-Bit LLM Quantization?

Ting-Yun Chang, Muru Zhang, Jesse Thomason, Robin Jia

reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs

Zhaofeng Wu, Michihiro Yasunaga, Andrew Cohen, Yoon Kim, Asli Celikyilmaz

Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability

Tu Anh Dinh, Jan Niehues

TokenSkip: Controllable Chain-of-Thought Compression in LLMs

Heming Xia, Chak Tou Leong, Wenjie Wang, Yongqi Li, Wenjie Li

Humanizing Machines: Rethinking LLM Anthropomorphism Through a Multi-Level Framework of Design

Yunze Xiao, Lynnette Hui Xian Ng, Jiarui Liu, Mona T. Diab

Few-Shot Learning Translation from New Languages

Carlos Mullov, Alexander Waibel

Surge: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors

Bohan Lyu, Siqiao Huang, Zichen Liang, Qian Sun, Jiaming Zhang

SHIFT: Selected Helpful Informative Frame for Video-guided Machine Translation

Boyu Guan, Chuang Han, Yining Zhang, Yupu Liang, Zhiyang Zhang

Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark

Jianyou Wang, Weili Cao, Longtian Bao, Youze Zheng, Gil Pasternak

Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning

Gagan Bhatia, Maxime Peyrard, Wei Zhao

FANS: Formal Answer Selection for LLM Natural Language Math Reasoning Using Lean4

Jiarui Yao, Ruida WANG, Tong Zhang

Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time

Huihan Li, You Chen, Siyuan Wang, Yixin He, Ninareh Mehrabi

Image Embedding Sampling Method for Diverse Captioning

Sania Waheed, Na Min An

Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time

Jiazheng Li, Yuxiang Zhou, Junru Lu, Gladys Tyen, Lin Gui

Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?

Hua Shen, Nicholas Clark, Tanu Mitra

LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment

Lingyao Li, Dawei Li, Zhenhui Ou, Xiaoran Xu, Jingxiao Liu

SAND: Boosting LLM Agents with Self-Taught Action Deliberation

Yu Xia, Yiran Jenny Shen, Junda Wu, Tong Yu, Sungchul Kim

BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation

Tianhao Zhang, Zhecheng Sheng, Zhexiao Lin, Chen Jiang, Dongyeop Kang

Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation

Hongxiang Zhang, Hao Chen, Muhao Chen, Tianyi Zhang

Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem

Yubo Wang, Ping Nie, Kai Zou, Lijun Wu, Wenhu Chen

Whisper-UT: A Unified Translation Framework for Speech and Text

Cihan Xiao, Matthew Wiesner, Debashish Chakraborty, Reno Kriz, Keith Cunningham

Demystifying optimized prompts in language models

Rimon Melamed, Lucas Hurley McCabe, H Howie Huang

MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform

Hayoung Jung, Shravika Mittal, Ananya Aatreya, Navreet Kaur, Munmun De Choudhury

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, Utkarsh Bhatt, Gurpreet Singh

NUTMEG: Separating Signal From Noise in Annotator Disagreement

Jonathan Ivey, Susan Gauch, David Jurgens

MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models

Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen

Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning

Jiayuan Zhu, Jiazhen Pan, Yuyuan Liu, Fenglin Liu, Junde Wu

Learning from Diverse Reasoning Paths with Routing and Collaboration

Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen

TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe-style Games

Prakamya Mishra, Jiang Liu, Jialian Wu, Xiaodong Yu, Zicheng Liu

MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification

Iustin Sirbu, Robert-Adrian Popovici, Cornelia Caragea, Stefan Trausan-Matu, Traian Rebedea

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge

Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao

VoiceCraft-X: Unifying Multilingual, Voice-Cloning Speech Synthesis and Speech Editing

Zhisheng Zheng, Puyuan Peng, Anuj Diwan, Cong Phuoc Huynh, Xiaohang Sun

SurveyGen: Quality-Aware Scientific Survey Generation with Large Language Models

Tong Bao, Mir Tafseer Nayeem, Davood Rafiei, Chengzhi Zhang

COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Read to Hear: A Zero-Shot Pronunciation Assessment Using Textual Descriptions and LLMs

Yu-Wen Chen, Melody Ma, Julia Hirschberg

User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal

Yuhan Liu, Michael JQ Zhang, Eunsol Choi

Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes

Mingyang Wang, Lukas Lange, Heike Adel, Yunpu Ma, Jannik Strötgen

Efficient Model Development through Fine-tuning Transfer

Pin-Jie Lin, Rishab Balasubramanian, Fengyuan Liu, Nikhil Kandpal, Tu Vu

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs

Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu

RuCCoD: Towards Automated ICD Coding in Russian

Alexandr Nesterov, Andrey Sakhovskiy, Ivan Sviridov, Airat Valiev, Vladimir Makharev

M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis

ChengYan Wu, Bolei Ma, Yihong Liu, Zheyu Zhang, Ningyuan Deng

FilBench: Can LLMs Understand and Generate Filipino?

Lester James Validad Miranda, Elyanah Aco, Conner G. Manuel, Jan Christian Blaise Cruz, Joseph Marvin Imperial

Large Language Models Do Multi-Label Classification Differently

Marcus Ma, Georgios Chochlakis, Niyantha Maruthu Pandiyan, Jesse Thomason, Shrikanth Narayanan

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning

Le Zhang, Bo Wang, Xipeng Qiu, Siva Reddy, Aishwarya Agrawal

LLMs Behind the Scenes: Enabling Narrative Scene Illustration

Melissa Roemmele, John Joon Young Chung, Taewook Kim, Yuqian Sun, Alex Calderwood

SWAN: An Efficient and Scalable Approach for Long-Context Language Modeling

Krishna C Puvvada, Faisal Ladhak, Santiago Akle Serano, Cheng-Ping Hsieh, Shantanu Acharya

To Mask or to Mirror: Human-AI Alignment in Collective Reasoning

Crystal Qian, Aaron T Parisi, Clémentine Bouleau, Vivian Tsai, Maël Lebreton

Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization

Shuo Xing, Peiran Li, Yuping Wang, Ruizheng Bai, Yueqi Wang

Improving Cross Lingual Transfer by Pretraining with Active Forgetting

Divyanshu Aggarwal, Ashutosh Sathe, Sunayana Sitaram

CHENGYU-BENCH: Benchmarking Large Language Models for Chinese Idiom Understanding and Use

Yicheng Fu, Zhemin Huang, Liuxin Yang, Yumeng Lu, Zhongdongming Dai

Integral Transformer: Denoising Attention, Not Too Much Not Too Little

Ivan Kobyzev, Abbas Ghaddar, Dingtao Hu, Boxing Chen

Improving Informally Romanized Language Identification

Adrian Benton, Alexander Gutkin, Christo Kirov, Brian Roark

SafeScientist: Enhancing AI Scientist Safety for Risk-Aware Scientific Discovery

Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, Nuoxing Shang, Zijia Liu

CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering

Zongxi Li, Yang Li, Haoran Xie, S. Joe Qin

Effective Red-Teaming of Policy-Adherent Agents

Itay Nakash, George Kour, Koren Lazar, Matan Vetzler, Guy Uziel

BabyLM’s First Constructions: Causal interventions provide a signal of learning

Joshua Rozner, Leonie Weissweiler, Cory Shain

SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models

Zirui He, Mingyu Jin, Bo Shen, Ali Payani, Yongfeng Zhang

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, Qi Qi, Zirui Zhuang

RBPtool: A Deep Language Model Framework for Multi-Resolution RBP-RNA Binding Prediction and RNA Molecule Design

Jiyue Jiang, Yitao Xu, Zikang Wang, Yihan Ye, Yanruisheng Shao

CodeMixBench: Evaluating Code-Mixing Capabilities of LLMs Across 18 Languages

Yilun Yang, Yekun Chai

Constructions are Revealed in Word Distributions

Joshua Rozner, Leonie Weissweiler, Kyle Mahowald, Cory Shain

Language Models as Causal Effect Generators

Lucius E.J. Bynum, Kyunghyun Cho

Value Profiles for Encoding Human Variation

Taylor Sorensen, Pushkar Mishra, Roma Patel, Michael Henry Tessler, Michiel A. Bakker

F²Bench: An Open-ended Fairness Evaluation Benchmark for LLMs with Factuality Considerations

Tian Lan, Jiang Li, Yemin Wang, Xu Liu, Xiangdong Su

WebInject: Prompt Injection Attack to Web Agents

Xilong Wang, John Bloch, Zedian Shao, Yuepeng Hu, Shuyan Zhou

Direct Judgement Preference Optimization

Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty

Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling

Minghui Li, Hao Zhang, Yechao Zhang, Wei Wan, Shengshan Hu

TurnaboutLLM: A Deductive Reasoning Benchmark from Detective Games

Yuan Yuan, Muyu He, Muhammad Adil Shahid, Ziyang Li, Jiani Huang

Foot-In-The-Door: A Multi-turn Jailbreak for LLMs

Zixuan Weng, Xiaolong Jin, Jinyuan Jia, Xiangyu Zhang

Router-Tuning: A Simple and Effective Approach for Dynamic Depth

Shwai He, Tao Ge, Guoheng Sun, Bowei Tian, Xiaoyang Wang

Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models

Xuyang Liu, Yiyu Wang, Junpeng Ma, Linfeng Zhang

Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Reasoning

Mingyuan Wu, Jize Jiang, Haozhen Zheng, Meitang Li, Zhaoheng Li

RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language

Subrata Biswas, Mohammad Nur Hossain Khan, Bashima Islam

Unstructured Evidence Attribution for Long Context Query Focused Summarization

Dustin Wright, Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens

We Politely Insist: Your LLM Must Learn the Persian Art of Taarof

Nikta Gohari Sadr, Sahar Heidariasl, Karine Megerdoomian, Laleh Seyyed-Kalantari, Ali Emami

SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence

Yao Zhang, Chenyang Lin, Shijie Tang, Haokun Chen, Shijie Zhou

Interpretability Analysis of Arithmetic In-Context Learning in Large Language Models

Gregory Polyakov, Christian Hepting, Carsten Eickhoff, Seyed Ali Bahrainian

Culture Cartography: Mapping the Landscape of Cultural Knowledge

Caleb Ziems, William Barr Held, Jane Yu, Amir Goldberg, David Grusky

Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions

Lan Zhang, Marco Valentino, Andre Freitas

CiteBART: Learning to Generate Citations for Local Citation Recommendation

Ege Yiğit Çelik, Selma Tekir

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation

Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu

Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders

Dong Shu, Xuansheng Wu, Haiyan Zhao, Mengnan Du, Ninghao Liu

Beyond the Surface: Measuring Self-Preference in LLM Judgments

Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, Enrui Hu, Yankai Lin

From Schema to State: Zero-Shot Scheme-Only Dialogue State Tracking via Diverse Synthetic Dialogue and Step-by-Step Distillation

Huan Xu, Zequn Li, Wen Tang, Jian Jun Zhang

CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs

Nafiseh Nikeghbal, Amir Hossein Kargaran, Jana Diesner

Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition

Xuemei Tang, Xufeng Duan, Zhenguang Cai