New LLM workflow converts network diagrams to verifiable simulation models

By PulseAugur Editorial · [1 sources] · 2026-07-28 04:00

Researchers have developed a new workflow called Sketch2DES that uses open-weight Large Language Models (LLMs) to convert visual diagrams of queuing networks into verifiable simulation models. This approach involves translating the diagram into a textual description, then into schema-validated JSON, and finally into an executable simulation model. The method aims to improve reproducibility and transparency in simulation modeling, reducing the need for programming expertise and offering statistically comparable results to human-coded benchmarks. AI

IMPACT Enhances the reliability and accessibility of simulation modeling by leveraging LLMs for diagram-to-model conversion.

RANK_REASON The cluster contains a research paper detailing a new methodology for simulation modeling using LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

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New LLM workflow converts network diagrams to verifiable simulation models

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arXiv cs.AI TIER_1 English(EN) · Thomas Monks, Alison Harper, Amy Heather, Navonil Mustafee · 2026-07-28 04:00

Generative Artificial Intelligence (GenAI) to convert images of queuing networks into verifiable simulation models: an open-weight LLM workflow approach

arXiv:2607.24259v1 Announce Type: new Abstract: Recent work has explored the use of Large Language Models (LLMs) to automate simulation model building, typically by generating executable code directly from natural language descriptions. However, this raises challenges for verific…

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Generative Artificial Intelligence (GenAI) to convert images of queuing networks into verifiable simulation models: an open-weight LLM workflow approach

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