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Podcast: Arxiv Papers
Episode: [QA] Think, Prune, Train, Improve: Scaling Reasoning Without Scaling Models
Description: The paper presents a framework, Think, Prune, Train, enhancing LLM performance through iterative fine-tuning on self-generated reasoning traces, achieving significant improvements in programming and mathematical tasks.https://arxiv.org/abs//2504.18116YouTube: 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