Research paper analyzing weak-to-strong alignment risks through a bias-variance framework. Examines how weaker model supervision trades off consistency versus variance when steering stronger AI systems.
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Evaluating Risks in Weak-to-Strong Alignment: A Bias-Variance Perspective
Weak-to-strong alignment via weaker model supervision faces an unavoidable bias-variance tradeoff, revealing fundamental limits to steering advanced AI systems.
Thursday, April 30, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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