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cs.CL2026
Uncertainty Is Not a Safety Net for Clinical VQA, but Can It Anticipate Model Failure?
Arnisa Fazla, Alberto Testoni, Ameen Abu-Hanna +2
Safe deployment of clinical vision-language models (VLMs) requires reliable uncertainty estimation (UE): a signal indicating when predictions should be trusted or escalated to a cl…
cs.CL2026
Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA
Alberto Testoni, Iacer Calixto
Safe clinical deployment of Large Language Models (LLMs) requires not only high accuracy but also robust uncertainty calibration to ensure models defer to clinicians when appropria…