We propose a novel CAD reverse engineering method that mimics human design workflows by using multi-plane 2D cross-sections to reconstruct detailed, editable, and fully parametric CAD models.

We introduce a fully automated framework that uses LLMs to seamlessly retrieve auxiliary tasks and employs adaptive weighting to integrate them for improved molecular property prediction.