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Podcast: Arxiv Papers
Episode: [QA] Inverse Scaling in Test-Time Compute
Description: The study reveals that increasing reasoning length in Large Reasoning Models can reduce accuracy, highlighting five failure modes and the need for diverse evaluation tasks to improve model performance.https://arxiv.org/abs//2507.14417YouTube: 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