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English(EN) ModiGen: A Large Language Model-Based Workflow for Multi-Task Modelica Code Generation

LLM工作流ModiGen增强了物理系统的Modelica代码生成能力

研究人员开发了ModiGen,这是一个利用大语言模型(LLMs)生成用于模拟复杂物理系统的Modelica代码的工作流。目前的LLMs在此任务上存在困难,经常生成无法运行的代码。ModiGen集成了监督微调、图检索增强生成和反馈优化,显著提高了Modelica组件和测试用例生成的准确性和可靠性,在pass@1指标上取得了显著的提升。 AI

影响 增强了LLM在专业工程领域的应用能力,有望加速复杂物理系统模拟的开发。

排序理由 该集群描述了一篇研究论文,详细介绍了一种使用LLM进行代码生成的新方法。 [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

LLM工作流ModiGen增强了物理系统的Modelica代码生成能力

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该集群描述了一篇研究论文,详细介绍了一种使用LLM进行代码生成的新方法。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jiahui Xiang, Tong Ye, Peiyu Liu, Yinan Zhang, Wenhai Wang ·

    ModiGen:一种基于大型语言模型的用于多任务Modelica代码生成的流程

    arXiv:2503.18460v2 Announce Type: replace-cross Abstract: Modelica is a widely adopted language for simulating complex physical systems, yet effective model creation and optimization require substantial domain expertise. Although large language models (LLMs) have demonstrated pro…