Improving Auto-Design of Neural PDE Solvers with a Domain-Specific Language
ADSL-PDE improves both search efficiency and optimization stability, achieving an improvement of more than 52% within the first ten evolution iterations, suggesting a broader principle for LLM-driven auto-design: effective agents do not merely require stronger reasoning, but rather a search representation that concentr...