Article

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models

2026-02-18

Abstract excerpt

<title>Abstract</title> <p>Ensuring the safety and reliability of large language models (LLMs) in clinical practice is critical to prevent patient harm. However, LLMs are advancing so rapidly that static benchmarks quickly become obsolete or prone to overfitting, yielding a misleading picture of model trustworthiness. Here we introduce a Dynamic, Automatic, and Systematic (DAS) red-teaming framework that continuo...

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Literature Corpus work: 77820955-0d32-577f-99f8-d34e9c755902
DOI: 10.21203/rs.3.rs-7237079/v1

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