Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
from Arxiv Papers Hosted by Igor Melnyk
This work presents a systematic training recipe for Small Language Models, enhancing their reasoning capabilities using Chain-of-Thought data, outperforming larger models in math reasoning tasks. https://arxiv.org/abs//2504.21233 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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This episode was published on May 1, 2025.
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