EACL 2026

1,430 papers

PharmaQA.IT: an Italian dataset for Q&A in the pharmaceutical domain

Kamyar Zeinalipour, Andrea Zugarini, Asya Zanollo, Leonardo Rigutini

Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden’s J statistic

Stéphane Collot, Colin Fraser, Justin Zhao, William F. Shen, Timon Willi

Lightweight Domain-Specific Language Model for Real-Time Structuring of Medical Prescriptions

Jonathan Pattin Cottet, Véronique Eglin, Alex Aussem

Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection

Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani

SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization

Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, Charles Mackin, Ashutosh Jadhav

SkiLLens: Recognising and Mapping Novel Skills from Millions of Job Ads Across Europe Using Language Models

Alessia De Santo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani

Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?

Sushant Kumar Ray, Gautam Siddharth Kashyap, Sahil Tripathi, Nipun Joshi, Vijay Govindarajan

ARQA: A Benchmark for Grounded Table–Text QA in Enterprise Annual Reports

Ruilong Wang, Simone Balloccu

ShopperBench: A Benchmark for Personalized Shopping with Persona-Guided Simulation

Yuan Ling, Chunqing Yuan, Shujing Dong, Yongjian Yang, Nataraj Mocherla

A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews

Aakash Trivedi, Aniket Upadhyay, Pratik Narang, Dhruv Kumar, Praveen Kumar

CareerPathKG: Knowledge Graph Integrated Framework for Career Intelligence

Ngoc-Quang Le, Duc Duong Hoang, Mai Vu Tran, Thi-Hai-Yen Vuong

DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction

Sudeshna Jana, Tirthankar Dasgupta, Manjira Sinha, Pabitra Mitra

D3: Dynamic Docid Decoding for Multi-Intent Generative Retrieval

Jaeyoung Kim, Dohyeon Lee, Soona Hong, Seung-won Hwang

CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization

Che-Ming Chang, Prashanth Vijayaraghavan, Ashutosh Jadhav, Charles Mackin, Hsinyu Tsai

MIRAGE: Metadata-guided Image Retrieval and Answer Generation for E-commerce Troubleshooting

Rishav Sahay, Lavanya Sita Tekumalla, Anoop Saladi

ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMs

HanGyeol Yoo, ChangSu Choi, MinJun Kim, Seohyun Song, SeungWoo Song

Long-Context Long-Form Question Answering for Legal Domain

Anagha Kulkarni, Parin Rajesh Jhaveri, Prasha Shrestha, Yu Tong Han, Reza Amini

DIALECTIC: A Multi-Agent System for Startup Evaluation

Jae Yoon Bae, Simon Malberg, Joyce Ann Clarize Galang, Andre Retterath, Georg Groh

Toward Automatic Delegation Extraction in Japanese Law

Tsuyoshi Fujita, Yuya Sawada, Yusuke Sakai, Taro Watanabe

Synthesizing question answering data from financial documents: An End-to-End Multi-Agent Approach

Chetan Harsha, Karmvir Singh Phogat, Sridhar Dasaratha, Shashishekar Ramakrishna

IndicJR: A Judge-Free Benchmark of Jailbreak Robustness in South Asian Languages

Priyaranjan Pattnayak, Sanchari Chowdhuri

Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning

Minseok Kim, Jingxiang Chen, Seong-Gyun Leem, Yin Huang, Rashi Rungta

PROBES : Performance and Relevance Observation for BEtter Search

Sejal Jain, Cyrus Andre DSouza, Jitenkumar Babubhai Rana, Aniket Joshi, Promod Yenigalla

Assertion-Conditioned Compliance: A Provenance-Aware Vulnerability in Multi-Turn Tool-Calling Agents

Daud Waqas, Aaryamaan Golthi, Erika Hayashida, Huanzhi Mao

Synthetic Data Fine-Tuning for Effective Team Formation in Enterprises

Guilherme Drummond Lima, Adriano Veloso

Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework

Xinle Pang, Danding Wang, Qiang Sheng, Yifan Sun, Beizhe Hu

The Subtle Art of Defection: Understanding Uncooperative Behaviors in LLM based Multi-Agent Systems

Devang Kulshreshtha, Wanyu Du, Raghav Jain, Srikanth Doss, Hang Su

Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging

Alphaeus Dmonte, Vidhi Gupta, Daniel J Perry, Mark Arehart

LingVarBench: Benchmarking LLMs on Entity Recognitions and Linguistic Verbalization Patterns in Phone-Call Transcripts

Seyedali Mohammadi, Manas Paldhe, Amit Chhabra, Youngseo Son, Vishal Seshagiri

Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization

Kushal Chawla, Chenyang Zhu, Pengshan Cai, SangWoo Cho, Scott Novotney

Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation

Kefei Liu, Meizhu Liu

MedRiskEval: Medical Risk Evaluation Benchmark of Language Models, On the Importance of User Perspectives in Healthcare Settings

Jean-philippe Corbeil, Minseon Kim, Maxime Griot, Sheela Agarwal, Alessandro Sordoni

Adapting Vision-Language Models for E-commerce Understanding at Scale

Matteo Nulli, Orshulevich Vladimir, Tala Bazazo, Christian Herold, Michael Kozielski

SAGE: An Agentic Explainer Framework for Interpreting SAE Features in Language Models

Jiaojiao Han, Wujiang Xu, Mingyu Jin, Mengnan Du

Enhancing User Safety: Context-Aware Detection of Offensive Query-Ad Pairs in Multimodal Search Advertising

Gaurav Kumar, Qiangjian Xi, Tanmaya Shekhar Dabral, Hooshang Ghasemi, Abishek Krishnamoorthy

Feedback-Aware Prompt Optimization Framework for Generating Job Postings

Suraj Maharjan, Ainur Yessenalina, Srinivasan H. Sengamedu

Medical Summarization in Practice: Design, Deployment, and Analysis of a Clinical Summarization System for a German Hospital

Moiz Rauf, Sean Papay

Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement

Aaditya Shukla, Sidney Knowles, Meenakshi Madugula, David Farris, Ryan Angilly

CASPER: Bridging Discrete and Continuous Prompt Optimization through Feedback-Guided Gradient Descent

Aryan Jain, Pushpendu Ghosh, Promod Yenigalla

RegNLI: Detecting Online Product Misbranding through Legal and Linguistic Alignment

Diya Saha, Abhishek Bharadwaj Varanasi, Tirthankar Dasgupta, Manjira Sinha

VideoMind: Thinking in Steps for Long Video Understanding

Shubhang Bhatnagar, Renxiong Wang, Kapil Krishnakumar, Adel Ahmadyan, Zhaojiang Lin

PatentVision: A multimodal method for drafting patent applications

Ruo Yang, Sai Krishna Reddy Mudhiganti, Manali Sharma

OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets

Jiyuan Shen, Yuan Peiyue, Atin Ghosh, Yifan Mai, Daniel Dahlmeier

ReflectiveRAG: Rethinking Adaptivity in Retrieval-Augmented Generation

Akshay Verma, Swapnil Gupta, Siddharth Pillai, Prateek Sircar, Deepak Gupta

When Speed Meets Intelligence: Scalable Conversational NER in an Ever-evolving World

Karim Ghonim, Antonio Roberto, Davide Bernardi

EduPulse: A Practical LLM-Enhanced Opinion Mining System for Vietnamese Student Feedback in Educational Platforms

Nguyen Xuan Phuc, Phi Nguyen Xuan, Vinh-Tiep Nguyen, Thin Dang Van, Ngan Luu-Thuy Nguyen

No Label? No Problem: Unsupervised Continual Learning for Adaptive Medical ASR

Meizhu Liu, Tao Sheng

A Compliance-Preserving Retrieval System for Aircraft MRO Task Search

Byungho Jo

Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks

Masaya Tsunokake, Yuta Koreeda, Terufumi Morishita, Koichi Nagatsuka, Hikaru Tomonari

MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation

Xiaotong Ye, Nicolas Bougie, Toshihiko Yamasaki, Narimawa Watanabe

BornoDrishti: Leveraging Vision Encoders and Domain-Adaptive Learning for Bangla OCR on Diverse Documents

S M Jishanul Islam, Md Mehedi Hasan, Masbul Haider Ovi, AKM Shahariar Azad Rabby, Fuad Rahman

Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization

Anum Afzal, Xueru Zheng, Florian Matthes

TAGQuant: Token-Aware Clustering for Group-Wise Quantization

Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Zhewei Yao, Yuxiong He

TASER: Table Agents for Schema-guided Extraction and Recommendation

Nicole Cho, Kirsty Fielding, William Watson, Sumitra Ganesh, Manuela Veloso

HotelQuEST: Balancing Quality and Efficiency in Agentic Search

Guy Hadad, Shadi Iskander, Sofia Tolmach, Oren Kalinsky, Haggai Roitman

Beyond IVR: Benchmarking Customer Support LLM Agents for Business-Adherence

Sumanth Balaji, Piyush Mishra, Aashraya Sachdeva, Suraj Agrawal

Scaling Intent Understanding: A Framework for Classification with Clarification using Lightweight LLMs

Subhadip Nandi, Tanishka Agarwal, Anshika Singh, Priyanka Bhatt

Retrieval Enhancements for RAG: Insights from a Deployed Customer Support Chatbot

Daniel González Juclà, Mohit Tuteja, Marcos Esteve Casademunt, Keshav Unnikrishnan, Yasir Usmani

Beyond Unified Models: A Service-Oriented Approach to Low Latency, Context Aware Phonemization for Real Time TTS

Mahta Fetrat Qharabagh, Donya Navabi, Zahra Dehghanian, Morteza Abolghasemi, Hamid R. Rabiee

Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs

Sandeep Mishra, Devichand Budagam, Anubhab Mandal, Bishal Santra, Pawan Goyal

MizanQA: A Benchmark for Multi-Answer Moroccan Legal QA

Adil Bahaj, Mounir Ghogho

KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference

Sai Gokhale, Devleena Das, Rajeev Patwari, Ashish Sirasao, Elliott Delaye

SymPyBench: A Dynamic Benchmark for Scientific Reasoning with Executable Python Code

Shima Imani, Seungwhan Moon, Adel Ahmadyan, Lu Zhang, Ahmed Kirmani

SELENE: Selective and Evidence-Weighted LLM Debating for Efficient and Reliable Reasoning

Akshay Verma, Swapnil Gupta, Deepak Gupta, Prateek Sircar, Siddharth Pillai

Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines

Jean Seo, GiBaeg Kim, Kihun Shin, Seungseop Lim, Hyunkyung Lee

PersonaTrace: Synthesizing Realistic Digital Footprints with LLM Agents

Minjia Wang, Yunfeng Wang, Xiao Ma, Dexin Lv, Qifan Guo

Compact Multimodal Language Models as Robust OCR Alternatives for Noisy Textual Clinical Reports

Nikita Neveditsin, Pawan Lingras, Salil Patil, Swarup Patil, Vijay Kumar Mago

From Paper to Structured JSON: An Agentic AI Workflow for Compliant BMR Digital Transformation

Bhavik Agarwal, Nidhi Bendre, Viktoria Rojkova

SCRIPTMIND: Crime Script Inference and Cognitive Evaluation for LLM-based Social Engineering Scam Detection System

Heedou Kim, Changsik Kim, Sanghwa Shin, Jaewoo Kang

Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration

Guangxin Wu, Hao Zhang, Zhang Zhibin, Jiafeng Guo, Xueqi Cheng

From Sentences to Proof Trees: Leveraging Language Models for Structured Reasoning

Aayushee Gupta

Active Learning for Corpus Refinement: Cost-Effective Preprocessing to Improve Validity of Applied Quantitative Text Analysis

Jakob Steglich, Stephan Poppe

Colorism in Multimodal AI: An Empirical Exploration of Socioeconomic Linguistic Bias in Text-to-Image Generation

Raj Gaurav Maurya, Vaibhav Shukla, Sreedath Panat

Hospitality-VQA: Decision-Oriented Informativeness Evaluation for Vision–Language Models

Jeongwoo Lee, Baek Duhyeong, Eungyeol Han, Soyeon Shin, Gukin Han

TimeRes: A Turkish Benchmark For Evaluating Temporal Understanding of Large Language Models

Habib Yağız Demir, Ümit Atlamaz, Susan Üsküdarlı

What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert Routing

Josef Pichlmeier, Sebastian Nicolas Mueller, Jakob Sturm, Josef Dräxl, Andre Luckow

Pioneering Bot Detection on Polish Reddit at the Comment Level

Karmela Matyjaszek

An Evaluation of Classifiers for Mapping Generative LLM Responses to Answer Options of Multiple-choice Questionnaires

Alisea Stroligo, Anna Shamray, Julian Schelb, Andreas Spitz

Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA Models

Andrey Moskalenko, Daria Pugacheva, Denis Shepelev, Andrey Kuznetsov, Vlad Shakhuro

Thesis Proposal: Comparing Human and Model Perception of Writing Style under Controlled Perturbations

Ewelina Paulina Księżniak

Automatic Generation of a Compositional QA Benchmark for Geospatial Reasoning under Spatial and Entity Constraints

Tetsuhisa Suizu, Shohei Higashiyama, Hiroyuki Shindo, Hiroki Ouchi, Sakriani Sakti

lrnnx: A library for Linear RNNs

Karan Bania, Soham Kalburgi, Manit Tanwar, Dhruthi, Aditya Nagarsekar

Detecting Overflow in Compressed Token Representations for Retrieval-Augmented Generation

Julia Belikova, Danila Rozhevskii, Dennis Svirin, Konstantin Polev, Alexander Panchenko

Thesis Proposal: Stability-Aware, Evidence-Grounded Knowledge Graph for Substance Use Disorders and Social Determinants of Health

Gautham Vijay Kumar

Energy Matching based Preference Learning for Diffusion Language Models

Shiv Shankar

Thesis Proposal: Measuring Prejudice at Scale

Zoran Fijavž, Senja Pollak, Veronika Bajt

Evaluating Cost-Efficiency of LLMs in a RAG Setup on Polish Wikipedia: Quality vs. Energy Consumption

Patrycja Smits, Tomasz Walkowiak

How Do Lexical Senses Correspond Between Spoken German and German Sign Language?

Melis Çelikkol, Wei Zhao

From Detection to Explanation: Modeling Fine-Grained Emotional Social Influence Techniques with LLMs and Human Preferences

Maciej Markiewicz, Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, Tomasz Adamczyk, Aleksander Szczęsny

Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models

Sumanth Manduru, Carlotta Domeniconi

Analysing LLM Persona Generation and Fairness Interpretation in Polarised Geopolitical Contexts

Maida Aizaz, Quang Minh Nguyen

Learning Nested Named Entity Recognition from Flat Annotations

Igor Rozhkov, Natalia V Loukachevitch

Efficient Low-Resource Language Models Using Tokenizer Transfer

Gustaf Gren, Murathan Kurfali

DRAGOn: Designing RAG On Periodically Updated Corpus

Fedor Chernogorskii, Sergei Averkiev, Liliya Kudraleeva, Zaven Martirosian, Maria Tikhonova

Fake News Detection Strategies under Dataset Bias: Using Large-scale Coarse-grained Labels

Yuki Kishi, Yuji Arima, Hitoshi Iyatomi

Thesis Proposal: A Multi-Agent System for Ontology-Based Perspective-Aware Knowledge Extraction

Luiz Do Valle Miranda, Grzegorz J. Nalepa

A Computational Forensic Linguistic Analysis of Narrative and Question-Answer Structures in Italian Police Interrogation Transcripts

Romane Werner, Thomas François, Sonja Bitzer

Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA Framework

Grzegorz Statkiewicz, Alicja Dobrzeniecka, Karolina Seweryn, Aleksandra Krasnodebska, Karolina Piosek

Evaluating the Impact of SAE-based Language Steering on LLM Performance

Sebastian Zwirner, Wentao Hu, Koshiro Aoki, Daisuke Kawahara

Towards Singable Lyrics Translation Using Large Language Models

Liu Hanze, Yusuke Sakai, Taro Watanabe