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It's Time to Bench the Medical Exam Benchmark
Inioluwa Deborah Raji1, Roxana Daneshjou2,3, Emily Alsentzer2
1Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley.
Abstract:
AbstractMedical licensing examinations, such as the United States Medical Licensing Examination, have become the default benchmarks for evaluating large language models (LLMs) in health care. Performance on these benchmarks is frequently cited as evidence of progress and used to justify the deployment of LLMs into clinical settings. However, we argue that these benchmarks are fundamentally limited as signals for assessing true clinical utility.
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