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Are We Grading Properly? Understanding Failure Modes in Medical Benchmarks

Dixit, Prithvi et al.
arXiv (OAI Expanded) · Papers
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computation-and-languagemachine-learning
Medical evaluation is shifting from static option-based questioning to realistic clinical scenarios with open-ended output modes. Grading these at scale naively, however, is expensive, and rubric-based evaluation has become the dominant scalable alternative. We ask what happens when the rubrics them
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