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, providing a taxonomy of six key areas where these models are making considerable impact. Finally, we propose several promising future directions for further advancements, which offer vast opportunities for innovation and are poised to shape the future of CAD technology. Github: https://github.com/lichengzhanguom/LLMs-CAD-Survey-Taxonomy

翻译：大语言模型（LLMs）近年来取得了快速进展，诸如ChatGPT与DeepSeek等模型在多个领域展现了卓越能力。尽管各领域已开展大量关于大语言模型的研究，但针对其与计算机辅助设计（CAD）交叉领域的系统性综述仍显著缺失。作为三维建模的行业标准，计算机辅助设计在跨行业产品的设计与开发中发挥着关键作用。随着现代设计复杂性的提升，大语言模型增强并优化计算机辅助设计工作流程的潜力开辟了令人振奋的新前沿。本文首次系统性梳理了大语言模型与计算机辅助设计的交叉领域。我们首先阐述计算机辅助设计的工业重要性，强调人工智能驱动创新的必要性；继而详细概述大语言模型的基础原理，同时考察闭源及公开可用的模型。综述核心聚焦大语言模型在计算机辅助设计中的多样化应用，提出涵盖六大关键领域的分类体系，揭示这些模型正在产生的重大影响。最后，我们提出若干极具潜力的未来研究方向，这些方向为创新提供了广阔机遇，并将深刻影响计算机辅助设计技术的发展。GitHub: https://github.com/lichengzhanguom/LLMs-CAD-Survey-Taxonomy