Learning from a Thoughtful Teacher: Adaptive On-Policy Self-Distillation for Mathematical Reasoning
Adaptive On-Policy Self-Distillation is proposed, which adapts what information the teacher receives and how strongly its feedback influences learning, and encodes each solution as a reasoning DAG, orders problems by the student's evolving capability, and reveals only the affordable subgraph and its next frontier as PI...