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The paper introduces Agent Workflow Memory (AWM), enhancing language model agents' performance on complex web navigation tasks by leveraging reusable workflows, improving success rates and efficiency across various domains.
https://arxiv.org/abs//2409.07429
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
The paper introduces Agent Workflow Memory (AWM), enhancing language model agents' performance on complex web navigation tasks by leveraging reusable workflows, improving success rates and efficiency across various domains.
https://arxiv.org/abs//2409.07429
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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