Learning to Design SR Solvers: Harness Optimization for Symbolic Regression
Symbolic regression (SR) seeks explicit equations that explain observed data, and recent methods increasingly employ large language models (LLMs) and agents for equation discovery. However, these systems typically rely on manually designed workflows and prompts. We argue that the SR agent harness should itself be an op...
Qian Li, Yu-Xiao Hu, Qi-Hao Duan et al.
· 0 citations