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[short] MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue ReSolution
Empirical study on Large Language Models (LLMs) in resolving GitHub issues reveals challenges. Proposed MAGIS framework with multi-agent collaboration significantly outperforms popular LLMs.
https://arxiv.org/abs//2403.17927
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
Empirical study on Large Language Models (LLMs) in resolving GitHub issues reveals challenges. Proposed MAGIS framework with multi-agent collaboration significantly outperforms popular LLMs.
https://arxiv.org/abs//2403.17927
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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