English(EN) Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support

大语言模型通过机制忠实性改进排队仿真模型翻译

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-06 04:00

研究人员开发了一个框架，利用大语言模型改进排队仿真模型到可执行代码的翻译。该方法侧重于确保生成的代码准确反映到达、路由和中断的预期逻辑，而不仅仅是实现可执行性。在各种仿真场景中，改编后的模型表现出更高的可靠性和一致性，尽管在复杂的多节点传输方面仍存在挑战。 AI

影响增强了 LLM 为专业仿真任务生成的代码的可靠性，可能提高排队研究的可重复性。

排序理由这是一篇发表在 arXiv 上的研究论文，详细介绍了 LLM 辅助仿真模型翻译的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.LG TIER_1 English(EN) · Jun-Qi Chen, Kun Zhang, Rui Zheng, Ying Zhong · 2026-05-06 04:00

大型语言模型支持下的机制忠实排队仿真模型翻译

arXiv:2601.06543v2 Announce Type: replace-cross 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. Alth…