2026
Towards Calibrating Prompt Tuning of Vision- Language Models
Ashshak Sharifdeen, Fahad Shamshad, Muhammad Akhtar Munir, Abhishek Basu, Mohamed Ismithdeen, Jeyapriyan Jeyamohan +3
CVPR 2026
Prompt tuning of large-scale vision-language models such as CLIP enables efficienttask adaptation without updating model weights. However, it often leads to poorconfidence calibration and unreliable predictive uncertainty. We address thisproblem by proposing a calibration framework that enhances pre