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English(EN) SAIL: Sound Abstract Interpreters with LLMs

大型语言模型自动化声音抽象解释器以进行程序验证

研究人员开发了SAIL,一个使用大型语言模型自动生成声音抽象解释器以进行程序验证的框架。该方法自动化了一个以前手动且繁琐的过程,合成了复杂非线性算子的抽象变换器。评估表明,SAIL可以匹配甚至超越人类设计的变换器的性能,为神经网络验证产生声音且精确的结果。 AI

影响 自动化复杂的程序验证任务,可能提高软件的可靠性和安全性。

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合成抽象解释器的新框架和方法。 [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

大型语言模型自动化声音抽象解释器以进行程序验证

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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合成抽象解释器的新框架和方法。 [lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Qiuhan Gu, Avaljot Singh, Gagandeep Singh ·

    SAIL:利用大型语言模型实现声音抽象解释器

    arXiv:2511.13663v2 Announce Type: replace-cross Abstract: How to construct globally sound abstract interpreters to safely approximate program behaviors remains a bottleneck in abstract interpretation. In this paper, we show the potential of using state-of-the-art LLMs to automate…