AI RESEARCH
Programmatic Context Augmentation for LLM-based Symbolic Regression
arXiv CS.AI
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ArXi:2605.03101v1 Announce Type: new Symbolic regression (SR), the task of discovering mathematical expressions that best describe a given dataset, remains a fundamental challenge in scientific discovery. Traditional approaches, primarily based on genetic algorithms and related evolutionary methods, have proven useful but suffer from scalability and expressivity limitations. Recently, large language model (LLM)-based evolutionary search methods have been