📰 Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026: all accepted papers

41 papers · the most cited first · ← Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026

1. A Comparative Study of Approaches to Anonymization of Clinical Free Text in Spanish ↗Florencia Luciana Brunello, Laura Alonso Alemany, Serena Villata et al.
2. An OMOP-Based Open-Source Text-to-SQL Benchmark Dataset ↗Paul Legrand, Kawsar Noor, Satyam Bhagwanani et al.
3. AnotherOne at MEDIQA-SYNUR 2026: Detect, Extract, Normalize - Knowledge-Grounded LLM Pipeline for Clinical Observation ExtractionJerrin John Thomas, Parameswari Krishnamurthyour summary
4. Automatic Generation of Discharge Summaries Using Large Language Models: A Systematic Literature ReviewLucas Molino-Piñar, Manuel Carlos Diaz Galiano, María-Teresa Martín-Valdiviaour summary
5. BDI at MEDIQA-EVAL 2026: A ReAct-Style Multimodal Agent for Fine-Grained Medical Response AssessmentJustin Xu, Zizheng Zhang, Augustine Luk et al.our summary
6. Context-Aware SNOMED CT Entity Linking for Clinical Text ↗Provia Kadusabe, Demian Gholipour Ghalandari, Lauren Cassidy et al.
7. Differentially Private De-identification of Dutch Clinical Notes: A Comparative EvaluationMichele Miranda, Xinlan Yan, Nishant Mishra et al.our summary
8. Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk ClassificationZhihao Shao, Ryo Sekizaki, Shengzhou Yi et al.our summary
9. Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study ↗Angelo Ziletti, Leonardo D'Ambrosi
10. Evaluating the Retrieval Component in a Retrieval-Augmented Summarization System for Patient Records in FrenchMarco Naguib, Christel Gérardin, Victor Beaucoté et al.our summary
11. Extracting Medication Instructions from Dutch General Practice Electronic Health Records with Local Natural Language Processing ↗Marya Dukmak, Constanza L. Andaur Navarro, Artuur Leeuwenberg
12. GS-BrainText: A Multi-Site Brain Imaging Report Dataset from Generation Scotland for Clinical Natural Language Processing Development and Validation ↗Beatrice Alex, Claire Grover, Arlene Casey et al.
13. Gladiator at MEDIQA-SYNUR 2026: Contextual Clinical Extraction: Integrating Foundation Models with Domain-Specific Validation RulesSiva Satyanarayana Raju Pusapati, Ankit Singhour summary
14. HSE NLP TEAM at MEDIQA-SYNUR 2026: Consensus Adjudication Ensemble (ACE): Balancing Precision and Recall for Schema-Bystander Clinical ExtractionAirat A. Valievour summary
15. JMedWiC: A Japanese Word-in-Context Dataset in the Medical Domain ↗Koki Horiguchi, Seiji Sugiyama, Tomoyuki Kajiwara et al.
16. L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification ↗Rishik Kondadadi, John E. Ortega
17. LTRC-IIIT at MEDIQA-SYNUR 2026: Benchmarking a Fully Local, Training-Free RAG PipelineAashwin Vaish, Dipti Misra Sharmaour summary
18. LTRC-Medicom at MEDIQA-SYNUR 2026: Schema-Guided Clinical Information Extraction with Hybrid Clustering-SFT-Verification ↗Pasumarthy Deepak, Sushvin Marimuthu, Parameswari Krishnamurthy
19. Lakefront AI Ramblers at MEDIQA-SYNUR 2026: Hybrid Retrieval and LLM Verification for Open-Source Schema-Guided Clinical Information ExtractionMichael T. Saban, Arsalan Yaghoubi, Behnaz Eslami et al.our summary
20. MIDAS_SYNUR at MEDIQA-SYNUR 2026: A Prompting Study for Clinical Observation Extraction from Nurse Dictation TranscriptionsSwetha Krishna Sriram, Akshitaa Sahooour summary
21. MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification in Low-Resource SettingsAlice Schiavone, Marco Fraccaro, Lea Marie Pehrson et al.our summary
22. MasonNLP at MEDIQA-SYNUR 2026: Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction ↗A H M Rezaul Karim, Özlem Uzuner
23. MedAware at MEDIQA-EVAL 2026: Vision-Language Model Fine-Tuning with Logprob-Based Score Calibration for Medical Response Evaluation ↗Ziqi Hao, Pengbo Liu
24. MedNormJ: A Benchmark Dataset for Medical Concept Normalization in Japanese Clinical DocumentsYuki Tashiro, Seiji Shimizu, Tomohiro Nishiyama et al.our summary
25. Night Shift Nerds at MEDIQA-SYNUR 2026: Pushing Small Large Language Model Capability for Clinical Observation Extraction and Normalization from Nurse Dictation using RLVR ↗Bayu Aryoyudanta, Maria Yuliana, Mikie Rachman et al.
26. Overview of the MEDIQA-EVAL 2026 Shared Task on Evaluation Metrics in Medical Multimodal Question Answering ↗Asma Ben Abacha, Wen-wai Yim
27. Overview of the MEDIQA-SYNUR 2026 Shared Task on Observation Extraction from Nurse DictationsGeorge Michalopoulos, Jean-Philippe Corbeil, Cari Bader et al.our summary
28. Pediatric Sepsis Cohort Detection Using In-Context Pointwise V-Usable Information ↗Yingya Li, Alon Geva, Steven Bethard et al.
29. Profiling Hallucinations in Frontier LLMs for Entity Linking to Medical Ontologies ↗Logan Born, Nishant Kambhatla, Uliyana Kubasova et al.
30. RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue SystemsAdarsh Srinivasan, Jacob Dineen, Muhammad Uzair Sarfraz et al.our summary
31. Retrieval-Augmented Generation Based Nurse Observation Extraction ↗Kyomin Hwang, Nojun Kwak
32. Role-Adapted Clinical Report Generation for Ultrasound Measurements in Low-Resource SettingsAyoub Nainia, Tanya Akumu, Noussair Lazrak et al.our summary
33. SASTA Self Assessment: An efficient human-in-the-loop strategy for developmental and pathological language analysisJan Odijk, Jelte van Boheemen, Xander Vertegaal et al.our summary
34. SQUCS at MEDIQA-SYNUR 2026: A Multi-Agent Open Source LLM System for Nursing Observation Extraction ↗Riham JeebAllah, Adhari AlZaabi, Abdulrahman Khalifa AAlAbdulsalam
35. SUAT-BMI at MEDIQA-EVAL 2026: An Ensemble Approach to Language Models as Judges for Automatic Rating of Medical ResponsesXinzhe Peng, Liyuan E, Kun Feng et al.our summary
36. SemAnTICA Lab at MediQA-SYNUR 2026: Route, Extract and Verify – An LLM-gated Ensemble for Parsing Nurse Dictations ↗Sy Hwang, Katherine S. Pitcher, Sue Hyon Kim et al.
37. SloCal-Net at MEDIQA-Eval 2026: Investigating the Impact of Reasoning and External Context on Medical Answer Grading ↗Primoz Kocbek, Valentina Carbonari, Pierangelo Veltri et al.
38. Smart_solutions at MEDIQA-SYNUR 2026: A Multi-Stage LLM Pipeline for Nursing Observation ExtractionPrateek Munjalour summary
39. TRUMEDIQA: A Modular Trustworthy RAG Pipeline for Multilingual Medical Question Answering ↗Meryem El Fatimi, Ayoub Nainia, Jihad Zahir
40. Temporal Structure in Clinical Narratives in Portuguese: Insights from Cross-Document Annotation ↗Ana Luisa Fernandes, Purificação Silvano, Luís Filipe Cunha
41. hgkai26 at MEDIQA-EVAL 2026: Automated Evaluation of Visual Medical Question Answering Using LLM-as-a-Judge ↗Haritha Gangavarapu

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