Prompting a large teacher model to explain itself before knowledge distillation gives a 17-point accuracy gain on GSM8K for an 8B student, but the evidence is weakened by test-set tuning and missing error bars.
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Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting
Prompting a large teacher model to explain itself before knowledge distillation gives a 17-point accuracy gain on GSM8K for an 8B student, but the evidence is weakened by test-set tuning and missing error bars.