Unified Controllable and Faithful Text-to-CAD Generation with LLMs (arxiv.org) AI

The arXiv paper proposes PR-CAD, a progressive refinement framework that unifies text-to-CAD generation and editing into a single controllable, “faithful” agent by using a high-fidelity interaction dataset and a reinforcement learning–enhanced reasoning approach. It reports state-of-the-art controllability and faithfulness on public benchmarks for both creating and refining CAD models, while also improving modeling efficiency.