Weak-to-Strong Generalization Recovers Strong Model Performance from Weak Supervision
Original titleWe frame progress on scalable oversight similar to weak-to-strong generalization: what fraction of the performance of a strong model trai...
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Jan Leike frames scalable oversight progress around weak-to-strong generalization, asking what fraction of a strong model's performance trained on golden data can be recovered using only a weak supervision signal. He points to an OpenAI blog post explaining the research.
Source: Jan Leike · x.comPublished · added here