Vision-capable LLMs can propose useful function forms from plots alone, and combining this with KANs gives a viable route to multivariate symbolic regression.
A survey of parallel genetic algorithms,
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Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
Vision-capable LLMs can propose useful function forms from plots alone, and combining this with KANs gives a viable route to multivariate symbolic regression.