VISD: Enhancing Video Reasoning via Structured Self-Distillation
The episode discusses VISD: Enhancing Video Reasoning via Structured Self-Distillation. The paper introduces a video-aware judge model that provides structured feedback on answer correctness, logic, and grounding. This feedback is integrated with reinforcement learning using a direction–magnitude decoupling mechanism to improve stability and enable more granular credit assignment for token updates.