AI RESEARCH
Benchmarking and Mitigating Sycophancy in Medical Vision Language Models
arXiv CS.CV
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ArXi:2509.21979v4 Announce Type: replace Visual language models (VLMs) have the potential to transform medical workflows. However, the deployment is limited by sycophancy. Despite this serious threat to patient safety, a systematic benchmark remains lacking. This paper addresses this gap by