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Podcast: Arxiv Papers
Episode: (How) Can Transformers Predict Pseudo-Random Numbers?
Description: This paper investigates Transformers' ability to learn pseudo-random sequences from linear congruential generators, revealing their capacity for in-context prediction and generalization to unseen moduli through algorithmic structures.https://arxiv.org/abs//2502.10390YouTube: 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