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EMNLP 2025

4,182 papers

MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning

Jingyan Shen, Jiarui Yao, Rui Yang, Yifan Sun, Feng Luo

Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference

Libo Zhang, Zhaoning Zhang, Xubaizhou, Rui Li, Zhiliang Tian

GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models

Dylan Hutson, Daniel Vennemeyer, Aneesh Deshmukh, Justin Zhan, Tianyu Jiang

Chameleon LLMs: User Personas Influence Chatbot Personality Shifts

Jane Xing, Tianyi Niu, Shashank Srivastava

Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset

Taisei Yamamoto, Ryoma Kumon, Danushka Bollegala, Hitomi Yanaka

SciEvent: Benchmarking Multi-domain Scientific Event Extraction

Bofu Dong, Pritesh Shah, Sumedh Sonawane, Tiyasha Banerjee, Erin Brady

Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety

Chenhao Huang, Ziyu Shen, Yicong Ren, Huiyuan Zheng, Jiazheng Zhang

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs’ Reasoning

Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li

RoDEval: A Robust Word Sense Disambiguation Evaluation Framework for Large Language Models

Luyang Zhang, Shuaimin Li, Yishuo Li, Kunpeng Kang, Kaiyuan Zhang

Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies

Terrance Liu, Shuyi Wang, Daniel Preoţiuc-Pietro, Yash Chandarana, Chirag Gupta

Grammar Pruning: Enabling Low-Latency Zero-Shot Task-Oriented Language Models for Edge AI

Octavian Alexandru Trifan, Jason Lee Weber, Marc Titus Trifan, Alexandru Nicolau, Alexander Veidenbaum

ReviewRL: Towards Automated Scientific Review with RL

Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru Wang, Junqi Gao

Do Large Language Models excel in Complex Logical Reasoning with Formal Language?

Jin Jiang, Jianing Wang, Yuchen Yan, Yang Liu, Jianhua Zhu

WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning

Gagan Mundada, Yash Vishe, Amit Namburi, Xin Xu, Zachary Novack

Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild

Sheshera Mysore, Debarati Das, Hancheng Cao, Bahareh Sarrafzadeh

TORSO: Template-Oriented Reasoning Towards General Tasks

Minhyuk Kim, Seungyoon Lee, Heuiseok Lim

LVLMs are Bad at Overhearing Human Referential Communication

Zhengxiang Wang, Weiling Li, Panagiotis Kaliosis, Owen Rambow, Susan Brennan

Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization

Mahmud Wasif Nafee, Maiqi Jiang, Haipeng Chen, Yanfu Zhang

Implicit Values Embedded in How Humans and LLMs Complete Subjective Everyday Tasks

Arjun Arunasalam, Madison Pickering, Z. Berkay Celik, Blase Ur

Representation Potentials of Foundation Models for Multimodal Alignment: A Survey

Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang

Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment

Pedram Zaree, Md Abdullah Al Mamun, Quazi Mishkatul Alam, Yue Dong, Ihsen Alouani

Database-Augmented Query Representation for Information Retrieval

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection

Yubin Ge, Salvatore Romeo, Jason Cai, Monica Sunkara, Yi Zhang

Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations

Jin Peng Zhou, Séb Arnold, Nan Ding, Kilian Q Weinberger, Nan Hua

Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards

Jaehoon Yun, Jiwoong Sohn, Jungwoo Park, Hyunjae Kim, Xiangru Tang

Reliable and Cost-Effective Exploratory Data Analysis via Graph-Guided RAG

Mossad Helali, Yutai Luo, Tae Jun Ham, Jim Plotts, Ashwin Chaugule

TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs

Ezgi Başar, Francesca Padovani, Jaap Jumelet, Arianna Bisazza

Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation

Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer Dy

Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics

Jiarui Liu, Yueqi Song, Yunze Xiao, Mingqian Zheng, Lindia Tjuatja

Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions

Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes

When Truthful Representations Flip Under Deceptive Instructions?

Xianxuan Long, Yao Fu, Runchao Li, Mu Sheng, Haotian Yu

KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval

Chi Minh Bui, Ngoc Mai Thieu, Vinh Van Nguyen, Jason J. Jung, Khac-Hoai Nam Bui

MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper

Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail Dianat

MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities

Sahil Verma, Keegan Hines, Jeff Bilmes, Charlotte Siska, Luke Zettlemoyer

PakBBQ: A Culturally Adapted Bias Benchmark for QA

Abdullah Hashmat, Muhammad Arham Mirza, Agha Ali Raza

Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis

Yiru Tang, Kun Zhou, Yingqian Min, Wayne Xin Zhao, Jing Sha

Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames

Sahithya Ravi, Gabriel Herbert Sarch, Vibhav Vineet, Andrew D Wilson, Balasaravanan Thoravi Kumaravel

Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs

Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu

Neuron-Level Differentiation of Memorization and Generalization in Large Language Models

Ko-Wei Huang, Yi-Fu Fu, Ching-Yu Tsai, Yu-Chieh Tu, Tzu-ling Cheng

VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms

Seungwon Lim, Sungwoong Kim, Jihwan Yu, Sungjae Lee, Jiwan Chung

ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming

Weichun Shi, Minghao Liu, Wanting Zhang, Langchen Shi, Fuqi Jia

ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks

Heng Zhou, Hejia Geng, Xiangyuan Xue, Li Kang, Yiran Qin

Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks

Gaurav Bagwe, Saket Sanjeev Chaturvedi, Xiaolong Ma, Xiaoyong Yuan, Kuang-Ching Wang

AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt

Saket Sanjeev Chaturvedi, Gaurav Bagwe, Lan Emily Zhang, Xiaoyong Yuan

The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating It

Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, Stephen Bach, Julia Kreutzer

CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists

Yukyung Lee, JoongHoon Kim, Jaehee Kim, Hyowon Cho, Jaewook Kang

Task-Aware Resolution Optimization for Visual Large Language Models

Weiqing Luo, Zhen Tan, Yifan Li, Xinyu Zhao, Kwonjoon Lee

Can Large Language Models Tackle Graph Partitioning?

Yiheng Wu, Ningchao Ge, Yanmin Li, Liwei Qian, Mengna Zhu

Improving Chemical Understanding of LLMs via SMILES Parsing

Yunhui Jang, Jaehyung Kim, Sungsoo Ahn

Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks

Dongjun Kim, Gyuho Shim, Yongchan Chun, Minhyuk Kim, Chanjun Park

Grouping Entities with Shared Properties using Multi-Facet Prompting and Property Embeddings

Amit Gajbhiye, Thomas Bailleux, Zied Bouraoui, Luis Espinosa-Anke, Steven Schockaert

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation

Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, jieming zhu

The Practical Impacts of Theoretical Constructs on Empathy Modeling

Allison Lahnala, Charles Welch, David Jurgens, Lucie Flek

Automated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling

Sydney Anuyah, Mehedi Mahmud Kaushik, Sri Rama Krishna Reddy Dwarampudi, Rakesh Shiradkar, Arjan Durresi