RA-CAD: Learning Post-Execution Critique for State-Aware Text-to-CAD Generation

Excerpt

arXiv:2608.05714v2 Announce Type: replace Abstract: Text-to-CAD generation translates natural-language design intent into editable and executable parametric computer-aided design (CAD) codes, reducing the expertise and effort required for manual modeling. Existing methods incorporate fixed, externally supplied, prompt-induced, or separately optimized critique mechanisms to optimize the generation process, but they do not necessarily optimize how feedback is interpreted and translated into effect