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Large language models (LLMs) self-improve to navigate web environments using synthetic data, achieving 31% task completion rate improvement on WebArena benchmark, introducing new evaluation metrics.
https://arxiv.org/abs//2405.20309
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
By Igor Melnyk5
33 ratings
Large language models (LLMs) self-improve to navigate web environments using synthetic data, achieving 31% task completion rate improvement on WebArena benchmark, introducing new evaluation metrics.
https://arxiv.org/abs//2405.20309
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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