Transformers Struggle to Learn to Search
from Arxiv Papers Hosted by Igor Melnyk
This study investigates transformers' search capabilities using graph connectivity, revealing that while they can learn to search, performance declines with larger graphs, unaffected by model size or in-context learning. https://arxiv.org/abs//2412.04703 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 December 9, 2024.
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