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Small Models Struggle to Learn from Strong Reasoners
The study reveals the Small Model Learnability Gap, showing that smaller models benefit more from simpler reasoning chains. Mix Distillation improves their performance by balancing reasoning complexity.
https://arxiv.org/abs//2502.12143
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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By Igor Melnyk
5
33 ratings
The study reveals the Small Model Learnability Gap, showing that smaller models benefit more from simpler reasoning chains. Mix Distillation improves their performance by balancing reasoning complexity.
https://arxiv.org/abs//2502.12143
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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