SpecLLM: Exploring Generation and Review of VLSI Design Specification with Large Language Model
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Abstract (arXiv)
The development of architecture specifications is an initial and fundamental stage of the integrated circuit (IC) design process. Traditionally, architecture specifications are crafted by experienced chip architects, a process that is not only time-consuming but also error-prone. Mistakes in these specifications may significantly affect subsequent stages of chip design. Despite the presence of advanced electronic design automation (EDA) tools, effective solutions to these specification-related challenges remain scarce. Since writing architecture specifications is naturally a natural language processing (NLP) task, this paper pioneers the automation of architecture specification development with the advanced capabilities of large language models (LLMs). Leveraging our definition and dataset, we explore the application of LLMs in two key aspects of architecture specification development: (1) Generating architecture specifications, which includes both writing specifications from scratch and converting RTL code into detailed specifications. (2) Reviewing existing architecture specifications. We got promising results indicating that LLMs may revolutionize how these critical specification documents are developed in IC design nowadays. By reducing the effort required, LLMs open up new possibilities for efficiency and accuracy in this crucial aspect of chip design.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Jan 2024.
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Citing papers per year: 2024: 2; 2025: 6; 2026: 1.
9 papers.
- 2024AnalogCoder: Analog Circuit Design via Training-Free Code Generationcited by 82
- 2024LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trustcited by 18
- 2025RealBench: Benchmarking Verilog Generation Models with Real-World IP Designscited by 14
- 2025GraphicBench: A Planning Benchmark for Graphic Design with Language Agentscited by 3
- 2025Large Language Models (LLMs) for Electronic Design Automation (EDA)cited by 3
- 2025Assessing LLMs for Front-end Software Architecture Knowledgecited by 2
- 2025Formalising Software Requirements using Large Language Modelscited by 2
- 2025ML For Hardware Design Interpretability: Challenges and Opportunitiescited by 0
- 2026LLM for EDA in Front-End Design: Challenges and Opportunitiescited by 0
- 2026LLM for EDA in Front-End Design: Challenges and Opportunities10 Jul 2026
- 2025Large Language Models (LLMs) for Electronic Design Automation (EDA)27 Aug 2025
- 2025RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs22 Jul 2025
- 2025Formalising Software Requirements using Large Language Models12 Jun 2025
- 2025GraphicBench: A Planning Benchmark for Graphic Design with Language Agents15 Apr 2025
- 2025ML For Hardware Design Interpretability: Challenges and Opportunities11 Apr 2025
- 2025Assessing LLMs for Front-end Software Architecture Knowledge26 Feb 2025
- 2024AnalogCoder: Analog Circuit Design via Training-Free Code Generation23 May 2024
- 2024LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust11 May 2024