FunctionEvolve: Structure-Guided Symbolic Regression with LLMs
📰 ArXiv cs.AI
Learn how FunctionEvolve uses LLMs for structure-guided symbolic regression to uncover scientific laws from data
Action Steps
- Apply FunctionEvolve to a dataset to uncover explicit scientific laws
- Use LLMs to guide mutation from background text in symbolic regression
- Configure the structure-guided approach to ensure domain-informed search
- Test the recovered symbolic representations for validity and accuracy
- Compare the results of FunctionEvolve with traditional genetic programming methods
Who Needs to Know This
Data scientists and researchers working on symbolic regression and LLMs can benefit from this approach to improve the accuracy of their models
Key Insight
💡 FunctionEvolve combines LLMs with structure-guided symbolic regression to improve the accuracy of recovered scientific laws
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🚀 FunctionEvolve: Structure-Guided Symbolic Regression with LLMs 🚀
Full Article
Title: FunctionEvolve: Structure-Guided Symbolic Regression with LLMs
Abstract:
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 systems remain structure-blind: they select among opaque candida
Abstract:
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 systems remain structure-blind: they select among opaque candida
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