Open Internet by MindsNet

Reevaluating Symbolic Regression in the Era of LLMs

The increasing power of Large Language Models (LLMs) in generating code and tackling symbolic regression tasks raises questions about the relevance and effectiveness of existing Symbolic Regression (SR) techniques. The challenge is to assess whether SR remains a viable approach or if LLMs have made it obsolete.

Computing & Technology, Computer Science, Machine Learning