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Podcast: Arxiv Papers
Episode: Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones
Description: This paper explores optimal inference-time computation for large language models, revealing scenarios where sequential scaling significantly outperforms parallel scaling, particularly in graph connectivity problems.https://arxiv.org/abs//2505.21825YouTube: 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