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Podcast: Arxiv Papers
Episode: Weak-to-Strong Generalization Even in Random Feature Networks, Provably
Description: The paper explores weak-to-strong generalization, demonstrating that a weaker teacher can enable a stronger student to outperform it, even with limited training data, highlighting early stopping's role.https://arxiv.org/abs//2503.02877YouTube: https://www.youtube.com/@ArxivPapersTikTok: https://www.tiktok.com/@arxiv_papersApple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers