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title: "Workshop on Clinical Natural Language Processing (Clinical"
description: "All 41 papers of Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026, the most cited first; those with our…"
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# 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](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2026/)

1. **[A Comparative Study of Approaches to Anonymization of Clinical Free Text in Spanish ↗](https://aclanthology.org/2026.clinicalnlp-1.31/)**Florencia Luciana Brunello, Laura Alonso Alemany, Serena Villata et al.
2. **[An OMOP-Based Open-Source Text-to-SQL Benchmark Dataset ↗](https://aclanthology.org/2026.clinicalnlp-1.40/)**Paul Legrand, Kawsar Noor, Satyam Bhagwanani et al.
3. **[AnotherOne at MEDIQA-SYNUR 2026: Detect, Extract, Normalize - Knowledge-Grounded LLM Pipeline for Clinical Observation Extraction](https://md.research.elamur.ai/free/en/papers/thomas-2026-anotherone-mediqa-synur-2026-detect/)**Jerrin John Thomas, Parameswari Krishnamurthy*our summary*
4. **[Automatic Generation of Discharge Summaries Using Large Language Models: A Systematic Literature Review](https://md.research.elamur.ai/free/en/papers/pinar-2026-automatic-generation-discharge-summaries-large/)**Lucas Molino-Piñar, Manuel Carlos Diaz Galiano, María-Teresa Martín-Valdivia*our summary*
5. **[BDI at MEDIQA-EVAL 2026: A ReAct-Style Multimodal Agent for Fine-Grained Medical Response Assessment](https://md.research.elamur.ai/free/en/papers/xu-2026-bdi-mediqa-eval-2026-react/)**Justin Xu, Zizheng Zhang, Augustine Luk et al.*our summary*
6. **[Context-Aware SNOMED CT Entity Linking for Clinical Text ↗](https://aclanthology.org/2026.clinicalnlp-1.33/)**Provia Kadusabe, Demian Gholipour Ghalandari, Lauren Cassidy et al.
7. **[Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation](https://md.research.elamur.ai/free/en/papers/miranda-2026-differentially-private-de-identification-dutch/)**Michele Miranda, Xinlan Yan, Nishant Mishra et al.*our summary*
8. **[Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk Classification](https://md.research.elamur.ai/free/en/papers/shao-2026-disagreement-driven-joint-refinement-retrieval/)**Zhihao 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 ↗](https://aclanthology.org/2026.clinicalnlp-1.39/)**Angelo Ziletti, Leonardo D'Ambrosi
10. **[Evaluating the Retrieval Component in a Retrieval-Augmented Summarization System for Patient Records in French](https://md.research.elamur.ai/free/en/papers/naguib-2026-evaluating-retrieval-component-retrieval-augmented/)**Marco 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 ↗](https://aclanthology.org/2026.clinicalnlp-1.19/)**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 ↗](https://aclanthology.org/2026.clinicalnlp-1.11/)**Beatrice Alex, Claire Grover, Arlene Casey et al.
13. **[Gladiator at MEDIQA-SYNUR 2026: Contextual Clinical Extraction: Integrating Foundation Models with Domain-Specific Validation Rules](https://md.research.elamur.ai/free/en/papers/pusapati-2026-gladiator-mediqa-synur-2026-contextual/)**Siva Satyanarayana Raju Pusapati, Ankit Singh*our summary*
14. **[HSE NLP TEAM at MEDIQA-SYNUR 2026: Consensus Adjudication Ensemble (ACE): Balancing Precision and Recall for Schema-Bystander Clinical Extraction](https://md.research.elamur.ai/free/en/papers/valiev-2026-hse-nlp-team-mediqa-synur/)**Airat A. Valiev*our summary*
15. **[JMedWiC: A Japanese Word-in-Context Dataset in the Medical Domain ↗](https://aclanthology.org/2026.clinicalnlp-1.24/)**Koki Horiguchi, Seiji Sugiyama, Tomoyuki Kajiwara et al.
16. **[L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification ↗](https://aclanthology.org/2026.clinicalnlp-1.5/)**Rishik Kondadadi, John E. Ortega
17. **[LTRC-IIIT at MEDIQA-SYNUR 2026: Benchmarking a Fully Local, Training-Free RAG Pipeline](https://md.research.elamur.ai/free/en/papers/vaish-2026-ltrc-iiit-mediqa-synur-2026/)**Aashwin Vaish, Dipti Misra Sharma*our summary*
18. **[LTRC-Medicom at MEDIQA-SYNUR 2026: Schema-Guided Clinical Information Extraction with Hybrid Clustering-SFT-Verification ↗](https://aclanthology.org/2026.clinicalnlp-1.25/)**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 Extraction](https://md.research.elamur.ai/free/en/papers/saban-2026-lakefront-ai-ramblers-mediqa-synur/)**Michael 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 Transcriptions](https://md.research.elamur.ai/free/en/papers/sriram-2026-midas-synur-mediqa-synur-2026/)**Swetha Krishna Sriram, Akshitaa Sahoo*our summary*
21. **[MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification in Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/schiavone-2026-mosaic-multilingual-taxonomy-agnostic-computationally/)**Alice 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 ↗](https://aclanthology.org/2026.clinicalnlp-1.17/)**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 ↗](https://aclanthology.org/2026.clinicalnlp-1.21/)**Ziqi Hao, Pengbo Liu
24. **[MedNormJ: A Benchmark Dataset for Medical Concept Normalization in Japanese Clinical Documents](https://md.research.elamur.ai/free/en/papers/tashiro-2026-mednormj-benchmark-dataset-medical-concept/)**Yuki 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 ↗](https://aclanthology.org/2026.clinicalnlp-1.18/)**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 ↗](https://aclanthology.org/2026.clinicalnlp-1.1/)**Asma Ben Abacha, Wen-wai Yim
27. **[Overview of the MEDIQA-SYNUR 2026 Shared Task on Observation Extraction from Nurse Dictations](https://md.research.elamur.ai/free/en/papers/michalopoulos-2026-overview-mediqa-synur-2026-shared/)**George Michalopoulos, Jean-Philippe Corbeil, Cari Bader et al.*our summary*
28. **[Pediatric Sepsis Cohort Detection Using In-Context Pointwise V-Usable Information ↗](https://aclanthology.org/2026.clinicalnlp-1.37/)**Yingya Li, Alon Geva, Steven Bethard et al.
29. **[Profiling Hallucinations in Frontier LLMs for Entity Linking to Medical Ontologies ↗](https://aclanthology.org/2026.clinicalnlp-1.41/)**Logan Born, Nishant Kambhatla, Uliyana Kubasova et al.
30. **[RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems](https://md.research.elamur.ai/free/en/papers/srinivasan-2026-recap-transparent-inference-time-emotion/)**Adarsh Srinivasan, Jacob Dineen, Muhammad Uzair Sarfraz et al.*our summary*
31. **[Retrieval-Augmented Generation Based Nurse Observation Extraction ↗](https://aclanthology.org/2026.clinicalnlp-1.8/)**Kyomin Hwang, Nojun Kwak
32. **[Role-Adapted Clinical Report Generation for Ultrasound Measurements in Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/nainia-2026-role-adapted-clinical-report-generation/)**Ayoub 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 analysis](https://md.research.elamur.ai/free/en/papers/odijk-2026-sasta-self-assessment-efficient-human/)**Jan 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 ↗](https://aclanthology.org/2026.clinicalnlp-1.14/)**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 Responses](https://md.research.elamur.ai/free/en/papers/peng-2026-suat-bmi-mediqa-eval-2026/)**Xinzhe 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 ↗](https://aclanthology.org/2026.clinicalnlp-1.4/)**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 ↗](https://aclanthology.org/2026.clinicalnlp-1.26/)**Primoz Kocbek, Valentina Carbonari, Pierangelo Veltri et al.
38. **[Smart_solutions at MEDIQA-SYNUR 2026: A Multi-Stage LLM Pipeline for Nursing Observation Extraction](https://md.research.elamur.ai/free/en/papers/munjal-2026-smart-solutions-mediqa-synur-2026/)**Prateek Munjal*our summary*
39. **[TRUMEDIQA: A Modular Trustworthy RAG Pipeline for Multilingual Medical Question Answering ↗](https://aclanthology.org/2026.clinicalnlp-1.6/)**Meryem El Fatimi, Ayoub Nainia, Jihad Zahir
40. **[Temporal Structure in Clinical Narratives in Portuguese: Insights from Cross-Document Annotation ↗](https://aclanthology.org/2026.clinicalnlp-1.34/)**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 ↗](https://aclanthology.org/2026.clinicalnlp-1.29/)**Haritha Gangavarapu
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