FunctionEvolve: Structure-Guided Symbolic Regression with LLMs 事件

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs arXiv:2606.07704v1 Announce Type: cross Abstract: Symbolic regression aims to uncover explicit scientific laws from data. Recent methods use LLMs to guide mutation from background text, which is more directed than random genetic programming. However, exact symbolic recovery requires both semantic guidance and explicit structure, so that domain-informed search are carried out through valid symbolic representation. Current LLM-driven