AI RESEARCH
When Cases Get Rare: A Retrieval Benchmark for Off-Guideline Clinical Question Answering
arXiv CS.CL
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ArXi:2605.21807v1 Announce Type: new Across medical specialties, clinical practice is anchored in evidence-based guidelines that codify best studied diagnostic and treatment pathways. These pathways routinely fall short for the long tail of real-world care not covered by guidelines. Most medical large language models (LLMs), however, are trained to encode common, guideline-focused medical knowledge in their parameters. Current evaluations test models primarily on recalling and reasoning with this memorized content, often in multiple-choice settings.