Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering

June 18, 2025 · The Cartographer · 🏛 Proceedings of the 24th Workshop on Biomedical Language Processing

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"Title-pattern auto-detect: Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering"

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Authors Brandon Colelough, Davis Bartels, Dina Demner-Fushman arXiv ID 2506.21597 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.IR Citations 0 Venue Proceedings of the 24th Workshop on Biomedical Language Processing Last Checked 5 days ago

Abstract

In this paper, we present an overview of ClinIQLink, a shared task, collocated with the 24th BioNLP workshop at ACL 2025, designed to stress-test large language models (LLMs) on medically-oriented question answering aimed at the level of a General Practitioner. The challenge supplies 4,978 expert-verified, medical source-grounded question-answer pairs that cover seven formats: true/false, multiple choice, unordered list, short answer, short-inverse, multi-hop, and multi-hop-inverse. Participating systems, bundled in Docker or Apptainer images, are executed on the CodaBench platform or the University of Maryland's Zaratan cluster. An automated harness (Task 1) scores closed-ended items by exact match and open-ended items with a three-tier embedding metric. A subsequent physician panel (Task 2) audits the top model responses.