The paper explores if transformers can learn implicit reasoning through grokking, showing varying generalization levels across reasoning types and suggesting improvements to transformer architecture for better reasoning.

https://arxiv.org/abs//2405.15071

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