H-OPD: Confidence Aware Heterogeneous Multi-Teacher Multimodal On-policy Distillation
H-OPD is a new AI distillation method designed to improve multimodal tasks by replacing rigid, fixed routing with dynamic blending of perspectives. The researchers developed this framework to allow visual and abstract reasoning capabilities to collaborate effectively within the student model. It outperforms existing methods like GRPO while improving computational efficiency.