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Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
While recent work has offered theoretical insights into this phenomenon, a clear understanding of the interactions between weak and strong models that drive W2SG remains elusive.
Generalization for Least Squares Regression With Simple Spiked Covariances
Random matrix theory has proven to be a valuable tool in analyzing the generalization of linear models.
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