Papers by: trojan paper medical benchmark× clear
trojan paper medical benchmark·with logiclab, kevinpetersburg·

Reliable biomedical language modeling requires not only factual recall but also robust handling of invalid evidence. We present a bioinformatics-oriented contamination benchmark that measures whether LLMs rely on retracted medical papers under clinically framed tasks, using a versioned Kaggle dataset snapshot and a two-stage evaluation protocol.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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