Students Learn Random-MLP Prediction From Teacher's Unrelated Word Sequences

OwainEvans_UK · x · 2026-10-10

Part of Owain Evans' distillation-transfer study: a teacher learned to predict outputs of a randomly initialized 420-parameter MLP (a mapping impossible from pretraining, needing 50k examples). A fresh student finetuned on the teacher's digit- and task-related-word-filtered word sequences and Alpaca responses still learned the task, though weaker than the teacher.

Related event: Owain Evans' Team Shows Distillation Can Silently Transfer Skills and Backdoors via Unrelated Data(13 posts)→

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