Looking for the SSD effect in output probabilities

Finding a training recipe to escape the self-distillation noise trap.

Initial baselines for simple self-distillation on competitive math.

Setting up the data needed to train and evaluate simple self-distillation for competitive math.

Improving LLM performance on competitive math through unverified self-distillation.