[QA] Large Language Models Think Too Fast To Explore Effectively

from Arxiv Papers · host Igor Melnyk

This study examines Large Language Models' exploration abilities in open-ended tasks, revealing they generally underperform compared to humans, highlighting limitations and suggesting improvements for adaptability. https://arxiv.org/abs//2501.18009 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

Episode metadata supplied by the publisher feed · Published Jan 31, 2025

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[QA] Large Language Models Think Too Fast To Explore Effectively

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