NOMAD: A Multi-Agent LLM System for UML Class Diagram Generation from Natural Language Requirements
Published:Nov 27, 2025 12:36
•1 min read
•ArXiv
Analysis
This article introduces NOMAD, a multi-agent LLM system designed to generate UML class diagrams from natural language requirements. The research focuses on leveraging LLMs for automated software design, specifically addressing the challenge of translating textual requirements into a visual representation. The multi-agent approach likely aims to decompose the complex task into smaller, more manageable sub-tasks, potentially improving accuracy and efficiency. The use of ArXiv suggests this is a preliminary research paper, and further evaluation and comparison with existing methods would be crucial.
Key Takeaways
Reference
“The article likely discusses the architecture of the multi-agent system, the specific LLMs used, and the evaluation metrics employed to assess the generated diagrams. It would also likely compare the performance of NOMAD with existing methods or baselines.”