Workshop on Patient-Oriented Language Processing @ LREC 2026: all accepted papers
- A Synthetic Conversational Dataset for Type 2 Diabetes ManagementStergios Ntanavaras, Maaike de Boer, Piek T.J.M. Vossenour summary
- Addressing Domain Shift in Health Coaching Note Analysis through Factorized Synthetic Data GenerationMichael Tänzer, Iva Bojic, Ashwini Yuvraj Lawate et al.our summary
- An Open-Resource Knowledge Augmentation for Biomedical Lay SummarizationJoão Pedro Veloso, Evelin Amorimour summary
- Aurum at CRF Filling 2026: Modular DSPy Extractors with Qwen3-Max for Multilingual CRF FillingVinay Babu Ulli, Jyoti Kumari, Anindita Mondalour summary
- BIT.UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA ↗Richard A. A. Jonker, Alexander Christiansen, Alexandros Maniatis et al.
- Beyond One-Size-Fits-All: Multi-Agent Refinement Framework for Persona-Based Biomedical SummarizationRohan Charudatt Salvi, Chirag Chawla, Md. Shad Akhtar et al.our summary
- CGU-ILALab at FoodBench-QA 2026: Comparing Traditional and LLM-based Approaches for Recipe Nutrient Estimation ↗Wei-Chun Chen, Yu-Xuan Chen, I-Fang Chung et al.
- COACH Meets QUORUM: A Framework and Pipeline for Aligning User, Expert, and Developer Perspectives in LLM-Generated Health CounsellingYee Man Ng, Bram van Dijk, Pieter Beynen et al.our summary
- CaresAI at CT-DEB'26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification Models ↗Leon Hamnett, Favour Igwezeke, Joseph Itopa Abubakar et al.
- Cohere Labs Community at FoodBench-QA 2026: The Cake Makes the IngredientsRavi Ranjan, Roshan Santhosh, Lucien Carrollour summary
- Compressed Representations of Patient Records: A Comparative Study of Template-Based and LLM-Based Methods for Clinical Data Summarization and VisualizationAndreas Stöckl, Oliver Krauss, Sophie Bauernfeindour summary
- Datasets for a Chatbot for Clinical Trial Search ↗Yumeng Yang, Ethan Ludmir, Kirk Roberts
- Diagnostic Reasoning with Large Language Models for a Rare Disease: Case Study of Primary Ciliary Dyskinesia ↗Swati Rajwal, Mary Ellen M. Fain, Lokesh Guglani et al.
- Dutch Metaphor Extraction from Cancer Patients' Interviews and Forum Data Using LLMs and Human in the Loop ↗Lifeng Han, David Lindevelt, Sander Puts et al.
- Evaluating Professional Acceptability of LLM-Generated Systematic Review Summaries in Healthcare: Psychiatrists' PerspectivesPaul Thompson, Artemis Boulogeorgou, Fotini Kaponi et al.our summary
- FHIRPath-QA: Executable Question Answering over FHIR Electronic Health Records ↗Michael Frew, Nishit Bheda, Bryan Tripp
- FoodBench-QA: Overview of the Shared Task on Grounded Food and Nutrition Question Answering ↗Tome Eftimov, Ana Gjorgjevikj, Matej Martinc et al.
- GREYC at CRF Filling 2026: Rewrite Before You Extract - Rewriting Clinical Notes for Automated CRFJesus Lovon-Melgarejo, Jérémie Pantin, Gaël Diasour summary
- GigitAI at ArchEHR-QA 2026: Prompting Strategies and Constitutional AI for Clinical Question Answering ↗Saran Krishnasamy, Inez Wihardjo
- HealthNLP_Retrievers at ArchEHR-QA 2026: Cascaded LLM Pipeline for Grounded Clinical Question Answering ↗Md Biplob Hosen, Md Alomgeer Hussein, Md Akmol Masud et al.
- HealthTrajectory: Patient Journey Summaries and Visualizations for Patient-Clinician Communication Support ↗Rohmah Hidayah, Tomohiro Nishiyama, Shoko Wakamiya et al.
- HiTZ-IXA at ArchEHR-QA 2026: Evidence Alignment Through Self-Consistency and Prompt Curation in Memory-Constrained EnvironmentsXabier Irastortza-Urbieta, Maite Oronoz, Alicia Pérezour summary
- Innov8rs at CRF Filling 2026: An Iterative Multi-LLM Ensemble Pipeline with Dynamic Few-Shot Retrieval and Data-Driven Precision FilteringSamminga Sainath Rao, Sumit Mishra, Chanchal Sumanour summary
- MedEvi-NS at ArchEHR-QA 2026: Using Clinical Reasoning Principles to Improve Zero-shot Capabilities of Large Language Models in Evidence AlignmentMengxuan Sun, Nicolay Rusnachenkoour summary
- MedGore: An Approach and a Dataset for Identification of Sensitive Medical Images ↗Soumya Gayen, Rory Mulcahey, Russell Loane et al.
- Medical Text Rewriting for Non-Experts: A Guideline-Driven LLM Approach ↗Mana Kuramoto, Hiroyuki Nagai, Keiko Yamada et al.
- Medical-FLAVORS-AECC: Spanish Oncological Metaphors Dataset ↗Lucia Pitarch, Jordi Bernad, Sergio LUIS Ojeda Trueba et al.
- Neural at ArchEHR-QA 2026: One Method Fits All: Unified Prompt Optimization for Clinical QA over EHRsAbrar Majeedi, Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy Bogireddy et al.our summary
- OptiMed at ArchEHR-QA 2026: GEPA Prompt Optimization and Multi-Agent Majority Voting for EHR-Grounded Question Answering ↗Feras AlMannaa, Talia Tseriotou, Maria Liakata
- Overview of the ArchEHR-QA 2026 Shared Task on Grounded Question Answering from Electronic Health Records ↗Sarvesh Soni, Dina Demner-Fushman
- Overview of the CRF 2026 Shared Task on Clinical Case Report Forms Filling ↗Pietro Ferrazzi, Soumitra Ghosh, Alberto Lavelli et al.
- Overview of the CT-DEB'26 Shared Task on Predicting Dosing Errors in Interventional Clinical Trials ↗Sohrab Ferdowsi, Félicien Hêche, Anthony Yazdani et al.
- Patient-Specific Care Pathway Visualisation for Medical Nursing Staff ↗Sophie Bauernfeind, Selina Adlberger, Oliver Krauss et al.
- Polimi at CRF Filling 2026: Prompt-Based Information Extraction from Italian Clinical NotesVittorio Torri, Francesca Ievaour summary
- Reasoning, Contrastive, and In-Context Strategies for Opioid Use Stage Detection on Social Media ↗Vinu Ekanayake, Ramakanth Kavuluru
- Scalable Generation of Adult-Oriented Therapeutic Reading Texts for Russian Aphasia Rehabilitation ↗Anastasia Kolmogorova, Anastasia Margolina, Alina Telnova et al.
- SimpliMED: Automatic Simplification of Cardiology Discharge Reports Using Large Language Models ↗Lucas Molino-Piñar, Manuel Carlos Díaz Galiano, María-Teresa Martín-Valdivia et al.
- Structured Radiology Intelligence: Extracting Structured Data from MRI Reports Using LLMsSushvin Marimuthu, Parameswari Krishnamurthy, Dipti Misra Sharma et al.our summary
- TAMU-NLP at ArchEHR-QA 2026: Grounded Clinical QA with Evidence Identification and Intent-Aware Answer GenerationXinqi Su, Rongrong Wang, Sunyang Fu et al.our summary
- TabMedQA: From Structured Data to Question-Answer Datasets in Early Clinical Decision-Making ↗Gabriel Iturra Bocaz, Petra Galuščáková, Sol Gedde Vedde et al.
- UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering ↗Mohammad Arvan, Hossein Haeri, Natalie Parde et al.
- Useful to Whom? A Persona-Driven Evaluation of Knowledge-Adapted Health Question Reformulation via LLM Simulation ↗Jooyeon Lee, Luan Huy Pham, Özlem Uzuner
- What Makes a Good Doctor Response? A Study on Text-Based Telemedicine ↗Adrian Cosma, Cosmin Dumitrache, Emilian Radoi
- WisPerMed at ArchEHR-QA 2026: Retrieval-Augmented Prompting for Grounded EHR Question Answering ↗Jan-Henning Büns, Tabea Margareta Grace Pakull, Hendrik Damm et al.
- sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook ↗Ibrahim Ebrar Yurt, Fabian Tobias Karl, Tejaswi Choppa et al.
- sebis at CRF Filling 2026: A Two-Stage Local LLM Pipeline for Medical CRF FillingKatharina Sommer, Tristan Till, Florian Matthesour summary
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