[2505.08137] Large Language Models for Computer-Aided Design: A Survey

[2505.08137] Large Language Models for Computer-Aided Design: A Survey

arXiv - Machine Learning 4 min read

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Abstract page for arXiv paper 2505.08137: Large Language Models for Computer-Aided Design: A Survey

Computer Science > Machine Learning arXiv:2505.08137 (cs) [Submitted on 13 May 2025 (v1), last revised 30 Mar 2026 (this version, v2)] Title:Large Language Models for Computer-Aided Design: A Survey Authors:Licheng Zhang, Bach Le, Naveed Akhtar, Siew-Kei Lam, Tuan Ngo View a PDF of the paper titled Large Language Models for Computer-Aided Design: A Survey, by Licheng Zhang and 4 other authors View PDF HTML (experimental) Abstract:Large Language Models (LLMs) have seen rapid advancements in recent years, with models like ChatGPT and DeepSeek, showcasing their remarkable capabilities across diverse domains. While substantial research has been conducted on LLMs in various fields, a comprehensive review focusing on their integration with Computer-Aided Design (CAD) remains notably absent. CAD is the industry standard for 3D modeling and plays a vital role in the design and development of products across different industries. As the complexity of modern designs increases, the potential for LLMs to enhance and streamline CAD workflows presents an exciting frontier. This article presents the first systematic survey exploring the intersection of LLMs and CAD. We begin by outlining the industrial significance of CAD, highlighting the need for AI-driven innovation. Next, we provide a detailed overview of the foundation of LLMs. We also examine both closed-source LLMs as well as publicly available models. The core of this review focuses on the various applications of LLMs in CAD, pro...

Originally published on March 31, 2026. Curated by AI News.

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