The paper explores the learnability of new syllogisms by Transformers, introducing the concept of distribution locality to determine efficient learning, showing limitations in composing syllogisms on long chains.

https://arxiv.org/abs//2406.06467

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