MAGIS: LLM-Based Multi-Agent Framework For GitHub Issue Resolution
MAGIS: LLM-Based Multi-Agent Framework resolves GitHub issues efficiently using large language models & multi-agent system, outperforming existing methods in empirical study.
This is a Plain English Papers summary of a research paper called MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview Introduces a new framework called MAGIS (LLM-Based Multi-Agent Framework for GitHub Issue ReSolution) for resolving issues on the GitHub platform Leverages large language models (LLMs) and a multi-agent system to automate the GitHub issue resolution process Performs an empirical study to evaluate the effectiveness of MAGIS compare...