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

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery arXiv:2606.06473v1 Announce Type: cross Abstract: Large language model (LLM) agents are increasingly applied to long-horizon tasks such as scientific discovery and machine learning engineering (MLE), where sustained self-evolution becomes a key capability. However, existing MLE agents suffer from inter-branch information isolation, memoryless search, and lack of hierarchical control, which together hinder lon