Randomly Sampled Language Reasoning Problems Reveal Limits of LLMs
from Arxiv Papers Hosted by Igor Melnyk
This study evaluates LLMs' language understanding using novel tasks from deterministic finite automata, revealing they struggle compared to basic models when faced with unfamiliar languages. https://arxiv.org/abs//2501.02825 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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