A-SR is an agentic LLM framework that improves symbolic regression success rates through role-conditioned evidence routing, protocol selection, and online role-policy adaptation.
Improving Symbolic Regression with Interval Arithmetic and Linear Scaling
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A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination
A-SR is an agentic LLM framework that improves symbolic regression success rates through role-conditioned evidence routing, protocol selection, and online role-policy adaptation.