DTScribe: Generating Models for Digital Twin Reporting using Local Large Language Models
The development of a digital twin brings together many stakeholders and technical components. We have previously investigated the reporting of the conceptual architecture for these digital twins as an artifact for discussion. However, we find that the activity of modeling the digital twin for visualization and consensus-building can be quite tedious and time-consuming. In this article, we explore the automation of model generation using large language models, targeting the model required for digital twin reporting. Our approach is designed to ingest digital twin documents and output both the conceptual architecture visualization and a reporting page for that digital twin. We first extract...
| Authors | Kérian Fiter, Angelica Portocarrero, Bentley Oakes |
|---|---|
| Primary category | cs.SE |
| Published | 13 October 2026 |
| Last updated at source | 13 October 2026 |
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