SR-LLM: An incremental symbolic regression framework driven by LLM-based retrieval-augmented generation

Proceedings of the National Academy of Sciences, Volume 122, Number 52, December 2025.
ImportanceScientists have long sought to derive models from extensive observational input-output data, ensuring that these models accurately capture the underlying mapping from inputs to outputs while remaining interpretable by humans through clear meanings. …