CA-OPD: Confidence-Aware On-Policy Distillation for Structured Visual Prediction
CA-OPD improves vision-language models by using teacher confidence to intelligently guide training rollouts. It dynamically decides whether to correct an unreliable student prediction or retain it for further distillation, leading to better performance on visual prediction tasks like GUI grounding and OCR.