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RadLIT-9: leaderboard

Radiology education retrieval benchmark with 420 multiple-choice questions from 36 open-access review articles across nine ABR subspecialties.

Source: huggingface.co.

Interactive version: theaggregate.ai/benchmark?slug=radlit-9 · How It Works · Data refreshed daily, snapshot 2026-09-05.

Built by Mikhail Doroshenko — AI researcher, co-author of Humanity’s Last Exam. Independent project; no affiliation with any AI lab.
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