[2601.06543] Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support

Computer Science > Computation and Language arXiv:2601.06543 (cs) [Submitted on 10 Jan 2026 (v1), last revised 5 May 2026 (this version, v2)] Title:Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support Authors:Jun-Qi Chen, Kun Zhang, Rui Zheng, Ying Zhong View a PDF of the paper titled Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support, by Jun-Qi Chen and 3 other authors View PDF HTML (experimental) Abstract:Queueing simulation studies often require substantial manual effort to translate conceptual system descriptions into executable programs and to verify that the implemented mechanisms match the intended queueing logic. Although large language models (LLMs) may produce executable scripts, executability alone is insufficient when arrival, routing, interruption, or reporting logic is wrong. This study presents a simulation-oriented support framework for \texttt{SimPy}-based queueing model translation. We propose a category-template framework for mechanism coverage with a staged adaptation workflow that targets structured event logic and common simulation-specific failure modes. On held-out task instances, the adapted models improve executability, output-format compliance, and instruction-mechanism consistency across basic, behavioral, and networked queueing settings, so the generated scripts are more reliable as queueing simulation scripts. Error analysis shows better preservation of routing seman...