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Nov 20, 2024 23 min

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models

from Arxiv Papers Hosted by Igor Melnyk

This study examines Large Language Models' generalization strategies in reasoning tasks, revealing distinct data influences for factual versus reasoning questions, highlighting procedural knowledge's role in their reasoning processes. https://arxiv.org/abs//2411.12580 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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