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Author

Bo Yang

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Jul 2026

SymBOL: A General-Purpose Symbolic Learner for Scientific Discovery Using Bayesian Optimization-Enhanced Large Language Models.

SymBOL accurately recovers governing equations and provides interpretable pathways for equation discovery when applied to real-world systems in materials science and epidemiology, and underscores the potential of SymBOL for advancing scientific discovery.

Jiaxu Cui, Qifei Li, Wei-Ting Liu et al. · 0 citations

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