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Predictive Entropy Links Calibration and Paraphrase Sensitivity in Medical Vision-Language Models
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Research identifies decision boundary proximity as a common cause for miscalibrated confidence and paraphrase sensitivity in medical Vision-Language Models.
Open sourceOneBench interpretation
Institutional assessment
So what
This research provides a more fundamental understanding of model brittleness and confidence, directly informing robust model validation strategies for high-stakes AI applications beyond medicine.
Do what
Understanding the linkage between calibration and input sensitivity informs your model validation framework, particularly for models deployed in regulated environments.