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Open access Sep 2026

Accuracy Overstates Evidence Grounding and Abstention Reliability in Mammography Vision-Language Models

An evidence-grounded selective evaluation benchmark that evaluates Pathology classification and Abnormality identification together with label-aware lesion localization suggests that answer accuracy and abstention behavior can substantially overstate the reliability of current VLM when predictions are not verified agai...

B. Qu, W. Liu, M. Murrow et al. · 0 citations

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