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The paper introduces Reinforcement-Learned Teachers (RLTs) that enhance distillation efficiency by providing detailed explanations, outperforming larger models in reasoning tasks without requiring extensive exploration.
https://arxiv.org/abs//2506.08388
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
5
33 ratings
The paper introduces Reinforcement-Learned Teachers (RLTs) that enhance distillation efficiency by providing detailed explanations, outperforming larger models in reasoning tasks without requiring extensive exploration.
https://arxiv.org/abs//2506.08388
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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