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English(EN) Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Construction

大型语言模型编排双层优化以构建区块链数字孪生

研究人员开发了Spec2Twin-Chain,一个旨在自动化构建区块链数字孪生的新颖框架。该系统将此复杂过程构建为双层优化问题来解决。上层的大型语言模型根据系统规格和行为证据提出并改进模拟器架构,而下层的基于仿真的优化器则根据目标和约束校准参数。两个层面进行迭代,利用已评估设计的全局存档来指导后续的提案,最终能够创建用于下游决策的精确孪生。 AI

影响 该框架可以简化区块链系统的复杂数字孪生的创建和验证,有可能提高模拟和决策的效率和准确性。

排序理由 该集群包含一篇学术论文,详细介绍了使用大型语言模型构建区块链数字孪生新框架。[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 →

大型语言模型编排双层优化以构建区块链数字孪生

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该集群包含一篇学术论文,详细介绍了使用大型语言模型构建区块链数字孪生新框架。[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) · Haoting Zhang, Haoxian Chen, Jiayuan Sheng, Donglin Zhan, Zeyu Zheng, David D. Yao, Wenpin Tang ·

    Spec2Twin-Chain:利用大语言模型编排双层优化以构建区块链数字孪生

    arXiv:2608.30050v1 Announce Type: new Abstract: Building a blockchain digital twin largely requires translating domain knowledge and specific system descriptions into a simulator architecture, calibrating its parameters against behavioral evidence, and validating the constructed …