πArXiv AIβ’Stalecollected in 11h
Dynamic Contamination-Free Medical Benchmark
β‘ 30-Second TL;DR
What Changed
2,756 cases across 38 specialties
Why It Matters
Mitigates eval flaws, exposes contamination risks for reliable medical AI assessment.
What To Do Next
Evaluate benchmark claims against your own use cases before adoption.
Who should care:Researchers & Academics
Key Points
- β’2,756 cases across 38 specialties
- β’Rubric decomposes physician responses
- β’84% models degrade post-cutoff
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Original source: ArXiv AI β
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