EMNLP 2025

4,182 papers

MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval

Yifan liu, Qianfeng Wen, Mark Zhao, Jiazhou Liang, Scott Sanner

Cacheback: Speculative Decoding With Nothing But Cache

Zhiyao Ma, In Gim, Lin Zhong

HICode: Hierarchical Inductive Coding with LLMs

Mian Zhong, Pristina Wang, Anjalie Field

Demystifying Domain-adaptive Post-training for Financial LLMs

Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments

Muhammad Ali, Salman Khan

Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval

Subhendu Khatuya, Shashwat Naidu, Pawan Goyal, Niloy Ganguly

MMDocIR: Benchmarking Multimodal Retrieval for Long Documents

Kuicai Dong, Yujing Chang, Derrick Goh Xin Deik, Dexun Li, Ruiming Tang

AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents

Fengze Liu, Haoyu Wang, Joonhyuk Cho, Dan Roth, Andrew Lo

Is Cognition Consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding

Zirui Shao, Feiyu Gao, Zhaoqing Zhu, Chuwei Luo, Hangdi Xing

The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support

Suhas Bn, Yash Mahajan, Dominik O. Mattioli, Andrew M. Sherrill, Rosa I. Arriaga

UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets

Pengyu Wang, Shaojun Zhou, Chenkun Tan, Xinghao Wang, Wei Huang

ModelCitizens: Representing Community Voices in Online Safety

Ashima Suvarna, Christina A Chance, Karolina Naranjo, Hamid Palangi, Sophie Hao

ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning

Rui Wang, Bohao Li, Xiyang Dai, Jianwei Yang, Yi-Ling Chen

Meta-Semantics Augmented Few-Shot Relational Learning

Han Wu, Jie Yin

SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models

Thong Nguyen, Yibin Lei, Jia-Huei Ju, Andrew Yates

SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models

Amirhossein Dabiriaghdam, Lele Wang

A Position Paper on the Automatic Generation of Machine Learning Leaderboards

Roelien C. Timmer, Yufang Hou, Stephen Wan

All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens

Siddarth Mamidanna, Daking Rai, Ziyu Yao, Yilun Zhou

PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims

Yongmin Yoo, Qiongkai Xu, Longbing Cao

Are Language Models Consequentialist or Deontological Moral Reasoners?

Keenan Samway, Max Kleiman-Weiner, David Guzman Piedrahita, Rada Mihalcea, Bernhard Schölkopf

Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations

Yunzhe Wang, Gale Lucas, Burcin Becerik-Gerber, Volkan Ustun

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models

Aneesh Komanduri, Karuna Bhaila, Xintao Wu

Mapping semantic networks to Dutch word embeddings as a diagnostic tool for cognitive decline

Maithe van Noort, Michal Korenar, Jelke Bloem

Enhancing RLHF with Human Gaze Modeling

Karim Galliamov, Ivan Titov, Ilya Pershin

Accelerated Test-Time Scaling with Model-Free Speculative Sampling

Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin

Can LLMs Extract Frame-Semantic Arguments?

Jacob Devasier, Rishabh Mediratta, Chengkai Li

Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations

Varun Dhanraj, Chris Eliasmith

Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study

DongGeon Lee, Joonwon Jang, Jihae Jeong, Hwanjo Yu

Estimating LLM Consistency: A User Baseline vs Surrogate Metrics

Xiaoyuan Wu, Weiran Lin, Omer Akgul, Lujo Bauer

Studying Rhetorically Ambiguous Questions

Oghenevovwe Ikumariegbe, Eduardo Blanco, Ellen Riloff

Exploring morphology-aware tokenization: A case study on Spanish language modeling

Alba Táboas García, Piotr Przybyła, Leo Wanner

Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification

Maya Kruse, Majid Afshar, Saksham Khatwani, Anoop Mayampurath, Guanhua Chen

Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction

Fatemeh Haji, Mazal Bethany, Cho-Yu Jason Chiang, Anthony Rios, Peyman Najafirad

Leveraging Knowledge Graph-Enhanced LLMs for Context-Aware Medical Consultation

Su-Hyeong Park, Ho-Beom Kim, Seong-Jin Park, Dinara Aliyeva, Kang-Min Kim

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs

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

Finding your MUSE: Mining Unexpected Solutions Engine

Nir Sweed, Hanit Hakim, Ben Wolfson, Hila Lifshitz, Dafna Shahaf

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists

Yifei Li, Hanane Nour Moussa, Ziru Chen, Shijie Chen, Botao Yu

Context-aware Biases for Length Extrapolation

Ali Veisi, Hamidreza Amirzadeh, Amir M. Mansourian

Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning

Massimiliano Pronesti, Michela Lorandi, Paul Flanagan, Oisín Redmond, Anya Belz

UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation

Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Dong Yu

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following

Hao Peng, Yunjia Qi, Xiaozhi Wang, Bin Xu, Lei Hou

Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework

Mohna Chakraborty, Lu Wang, David Jurgens

FLUID QA: A Multilingual Benchmark for Figurative Language Usage in Dialogue across English, Chinese, and Korean

Seoyoon Park, Hyeji Choi, Minseon Kim, Subin An, Xiaonan Wang

MemeIntel: Explainable Detection of Propagandistic and Hateful Memes

Mohamed Bayan Kmainasi, Abul Hasnat, Md Arid Hasan, Ali Ezzat Shahroor, Firoj Alam

VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM

Lesheng Jin, Zhenyuan Ruan, Haohui Mai, Jingbo Shang

DiNaM: Disinformation Narrative Mining with Large Language Models

Witold Sosnowski, Arkadiusz Modzelewski, Kinga Skorupska, Adam Wierzbicki

TaxoAlign: Scholarly Taxonomy Generation Using Language Models

Avishek Lahiri, Yufang Hou, Debarshi Kumar Sanyal

Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance

Xueqing Peng, Triantafillos Papadopoulos, Efstathia Soufleri, Polydoros Giannouris, Ruoyu Xiang

Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores

Ashwin Ramaswamy, Nestor Demeure, Ermal Rrapaj

Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs

Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika, Kaixiang Lin, Mingyi Hong

Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models

Zelin Li, Dawei Song

How Private are Language Models in Abstractive Summarization?

Anthony Hughes, Nikolaos Aletras, Ning Ma

Finetuning LLMs for Human Behavior Prediction in Social Science Experiments

Akaash Kolluri, Shengguang Wu, Joon Sung Park, Michael S. Bernstein

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents

Taro Yano, Yoichi Ishibashi, Masafumi Oyamada

GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection

Melissa Kazemi Rad, Alberto Purpura, Himanshu Kumar, Emily Chen, Mohammad Shahed Sorower

Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs

Amber Shore, Russell Scheinberg, Ameeta Agrawal, So Young Lee

A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations

Aida Mostafazadeh Davani, Sunipa Dev, Héctor Pérez-Urbina, Vinodkumar Prabhakaran

Lemmatization as a Classification Task: Results from Arabic across Multiple Genres

Mostafa Saeed, Nizar Habash

The Arabic Generality Score: Another Dimension of Modeling Arabic Dialectness

Sanad Sha’ban, Nizar Habash

LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models

Takumi Shibata, Yuichi Miyamura

KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction

Yang Yang, Mohan Timilsina, Edward Curry

Sparse Autoencoder Features for Classifications and Transferability

Jack Gallifant, Shan Chen, Kuleen Sasse, Hugo Aerts, Thomas Hartvigsen

Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality

Ruizheng Huang, Zhicheng Zhang, Yong Wang

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence

Marek Strong, Andreas Vlachos

GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL

Zhifeng Hao, Junqi Huang, Shaobin Shi, Ruichu Cai, Boyan Xu

Playpen: An Environment for Exploring Learning From Dialogue Game Feedback

Nicola Horst, Davide Mazzaccara, Antonia Schmidt, Michael Sullivan, Filippo Momentè

Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?

Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao, Nikolaos Aletras

Where Confabulation Lives: Latent Feature Discovery in LLMs

Thibaud Ardoin, Yi Cai, Gerhard Wunder

The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning

Stephanie Schoch, Yangfeng Ji

Measuring and Mitigating Media Outlet Name Bias in Large Language Models

Seong-Jin Park, Kang-Min Kim

Assessing effective de-escalation of crisis conversations using transformer-based models and trend statistics

Ignacio J. Tripodi, Greg Buda, Margaret Meagher, Elizabeth A. Olson

Cardiverse: Harnessing LLMs for Novel Card Game Prototyping

Danrui Li, Sen Zhang, Samuel S. Sohn, Kaidong Hu, Muhammad Usman

Too Helpful, Too Harmless, Too Honest or Just Right?

Gautam Siddharth Kashyap, Mark Dras, Usman Naseem

Mixture of Languages: Improved Multilingual Encoders Through Language Grouping

João Maria Janeiro, Belen Alastruey, Francisco Massa, Maha Elbayad, Benjamin Piwowarski

V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat

Qi Lin, Weikai Xu, Lisi Chen, Bin Dai

Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data

Faeze Ghorbanpour, Daryna Dementieva, Alexander Fraser

Machine-generated text detection prevents language model collapse

George Drayson, Emine Yilmaz, Vasileios Lampos

MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs

Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, Idan Szpektor, Tim G. J. Rudner

Multilingual Pretraining for Pixel Language Models

Ilker Kesen, Jonas F. Lotz, Ingo Ziegler, Phillip Rust, Desmond Elliott

Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning

Kwesi Adu Cobbina, Tianyi Zhou

It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs

Yue Li, Zhixue Zhao, Carolina Scarton

How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis

Yushi Yang, Filip Sondej, Harry Mayne, Andrew Lee, Adam Mahdi

StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models

Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu

Do LLMs Encode Frame Semantics? Evidence from Frame Identification

Jayanth Krishna Chundru, Rudrashis Poddar, Jie Cao, Tianyu Jiang

FISTAPruner: Layer-wise Post-training Pruning for Large Language Models

Pengxiang Zhao, Hanyu Hu, Ping Li, Yi Zheng, Zhefeng Wang

Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts

Yifei Yu, Qian-Wen Zhang, Lingfeng Qiao, Di Yin, Fang Li

A Causal Lens for Evaluating Faithfulness Metrics

Kerem Zaman, Shashank Srivastava

The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It

Leonardo Bertolazzi, Philipp Mondorf, Barbara Plank, Raffaella Bernardi

Graph-Guided Textual Explanation Generation Framework

Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking

Junda Zhu, Lingyong Yan, Shuaiqiang Wang, Dawei Yin, Lei Sha

PACHAT: Persona-Aware Speech Assistant for Multi-party Dialogue

Dongjie Fu, Xize Cheng, Linjun Li, Xiaoda Yang, Lujia Yang

Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems

Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu

SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling

Fares Fawzi, Vinitra Swamy, Dominik Glandorf, Tanya Nazaretsky, Tanja Käser

TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research

Abir Harrasse, Philip Quirke, Clement Neo, Dhruv Nathawani, Luke Marks

Iterative Multilingual Spectral Attribute Erasure

Shun Shao, Yftah Ziser, Zheng Zhao, Yifu Qiu, Shay B Cohen

Can LLM Agents Maintain a Persona in Discourse?

Pranav Bhandari, Nicolas Fay, Michael J Wise, Amitava Datta, Stephanie Meek

Beyond A Single AI Cluster: A Survey of Decentralized LLM Training

Haotian Dong, Jingyan Jiang, Rongwei Lu, Jiajun Luo, Jiajun Song

SOCIAL SCAFFOLDS: A Generalization Framework for Social Understanding Tasks

Ritam Dutt, Carolyn Rose, Maarten Sap

Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque

Oscar Sainz, Naiara Perez, Julen Etxaniz, Joseba Fernandez de Landa, Itziar Aldabe

Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach

Alessa Carbo, Eric Nalisnick