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English(EN) SkillForge: Compositional Skill Synthesis with Verification-in-the-Loop for Generating Formally Verified Dafny Programs

SkillForge 框架生成形式化验证的 Dafny 程序

研究人员开发了 SkillForge,一个新颖的框架,旨在根据自然语言描述生成形式化验证的 Dafny 程序。该系统将复杂任务分解为可重用技能库,每个技能处理一个特定子任务,如规范推断或错误诊断。一个由验证驱动的约束器协调这些技能,将代码提交给 Dafny 验证器,诊断失败,并路由到适当的修复技能,直到达到形式正确性或满足资源预算。与现有的基于代理和迭代的方法相比,SkillForge 在自然语言到 Dafny 规范的基准测试中表现出卓越的性能,以更少的 token 和更低的延迟实现了更高的验证率。 AI

影响 该框架可以显著提高从自然语言生成验证代码的可靠性和效率,可能影响软件开发工具和形式化验证过程。

排序理由 该集群包含一篇详细介绍新程序合成框架的研究论文。[lever_c_research 降级:ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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

SkillForge 框架生成形式化验证的 Dafny 程序

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该集群包含一篇详细介绍新程序合成框架的研究论文。[lever_c_research 降级:ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yanming Liu, Xinyue Peng, Jiannan Cao, Xinyi Wang, Jinbo Su ·

    SkillForge:通过带验证的合成技能合成生成形式化验证的Dafny程序

    arXiv:2608.29841v1 Announce Type: new Abstract: Generating formally verified programs from natural language remains challenging: existing approaches either produce code in a single pass without recourse when verification fails, or rely on open-ended agentic reasoning that is non-…