Design-Specification Tiling Improves In-Context Learning for CAD Code Generation

Jul 16, 2026

A new method called Design-Specification Tiling (DST) is proposed for selecting in-context learning exemplars in CAD code generation tasks. DST frames exemplar selection as a submodular maximization problem, providing a (1-1/e)-approximation guarantee, and aims to maximize coverage of design requirements. Experiments across multiple large language models show that DST leads to substantial improvements in CAD code generation quality compared to existing selection strategies.

Why it matters: This work introduces a principled approach to exemplar selection that enhances the effectiveness of LLMs in complex, domain-specific code generation tasks like CAD.

Full story at: arXiv Software Engineering ↗