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[QA] Think, Prune, Train, Improve: Scaling Reasoning Without Scaling Models
from Arxiv Papers Hosted by Igor Melnyk
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//2504.18116 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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How long is this episode of Arxiv Papers?
This episode is 7 minutes long.
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This episode was published on April 28, 2025.
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