AI robustness

When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure

This research introduces Med-Stress, a framework to test the epistemic resilience of LLMs in clinical dialogue, revealing that high diagnostic accuracy doesn't guarantee belief stability under escalating pressure. It proposes RBED and R-FT as novel defenses to mitigate this failure mode in medical AI.