Sign up to save your podcasts
Or
Share [QA] Small Models Struggle to Learn from Strong Reasoners
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
[QA] 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
View all episodes
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
More shows like Arxiv Papers
View all
FT News Briefing
698 Listeners
Google DeepMind: The Podcast
197 Listeners
Last Week in AI
288 Listeners
Latent Space: The AI Engineer Podcast
77 Listeners
The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
448 Listeners