Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs

This paper introduces a novel method, Random Sampling Knowledge Distillation, which improves sparse knowledge distillation by providing unbiased teacher probability estimates, enhancing student model training efficiency and performance.

https://arxiv.org/abs//2503.16870

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