AIBearisharXiv – CS AI · Apr 106/10
🧠
MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors
Researchers introduce MedDialBench, a comprehensive benchmark testing how large language models maintain diagnostic accuracy when patients exhibit adversarial behaviors across five dimensions. The study reveals that fabricating symptoms causes 1.7-3.4x larger accuracy drops than withholding information, with worst-case performance degradation ranging from 38.8 to 54.1 percentage points across tested models.