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Implicit Search via Discrete Diffusion: A Study on Chess
DIFFUSEARCH enhances planning in Large Language Models through implicit search via discrete diffusion, outperforming traditional search methods in Chess and improving action accuracy and puzzle-solving abilities.
https://arxiv.org/abs//2502.19805
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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By Igor Melnyk
5
33 ratings
DIFFUSEARCH enhances planning in Large Language Models through implicit search via discrete diffusion, outperforming traditional search methods in Chess and improving action accuracy and puzzle-solving abilities.
https://arxiv.org/abs//2502.19805
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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