most citedEnhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization

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cs.NE2026

Benchmarking Zero-Shot LLM-Generated Parent Selection in Genetic Programming for Symbolic Regression

Hengzhe Zhang, Qi Chen, Bing Xue +2

Parent selection significantly affects exploration, exploitation, and complexity control in genetic programming (GP) for symbolic regression. It is unclear whether large language m…

cs.NE2026

LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression

Hengzhe Zhang, Qi Chen, Bing Xue +2

Large language models (LLMs) have revolutionized algorithm development, yet their application in symbolic regression, where algorithms automatically discover symbolic expressions f…