Small Models Struggle to Learn from Strong Reasoners
from Arxiv Papers Hosted by Igor Melnyk
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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