masked-distillation

Masked distillation is a knowledge-distillation framework that trains a student LLM to predict only solution tokens while a reasoning teacher provides feedback, aiming to internalize chain-of-thought computation into model parameters. The method shows task-dependent success, working on GSM8K but requiring small scaffolds for harder tasks like Countdown.