teacher-exposure

Adaptive Teacher Exposure for Self-Distillation (ATESD) improves LLM reasoning by dynamically adjusting how much of the reference reasoning the teacher shows the student during training, using a learnable policy controller and a discounted learning-progress reward. Experiments on math benchmarks show consistent improvements over existing self-distillation and RL baselines.