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MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

Hugging Face Daily Papers · yesterday

MLEvolve is a self-evolving LLM-based multi-agent framework for automated ML algorithm discovery that extends tree search to Progressive MCGS with graph-based cross-branch information flow and retrospective memory. It achieves state-of-the-art performance on MLE-Bench and outperforms AlphaEvolve on mathematical algorithm optimization tasks.

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