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Prithvi Dixit

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#machine learning Preprint Sep 2026

Are We Grading Properly? Understanding Failure Modes in Medical Benchmarks

This work applies RIFT, a global rubric failure taxonomy, to two clinical benchmarks (HealthBench Professional and LiveMedBench), and finds failure modes are meaningful: on HealthBench Professional an LLM judge flags 29.6% of criteria as non-atomic and 65.4% as misaligned/rigid.

Prithvi Dixit, Pedram Hosseini · 0 citations