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English(EN) ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving

ProofWala框架赋能多语言定理证明研究

研究人员开发了ProofWala,一个旨在促进神经方法多语言证明数据合成和定理证明的新框架。该框架包含一个可重用的库,用于与交互式定理证明器(ITPs)进行交互,并支持项目范围内的分析和并行实验。通过在Lean 4和Rocq等不同的ITPs上进行多语言模型训练,该系统展示了改进的跨语言和跨领域迁移能力,在特定数学领域取得了统计学上的显著提升。 AI

影响 通过促进多语言数据合成和跨语言迁移,实现了更强大和可扩展的形式化验证与自动化定理证明研究。

排序理由 这是一篇描述新定理证明框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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ProofWala框架赋能多语言定理证明研究

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这是一篇描述新定理证明框架的研究论文。[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) · Amitayush Thakur, George Tsoukalas, Greg Durrett, Swarat Chaudhuri ·

    ProofWala:用于多语言证明数据合成和定理证明的框架

    arXiv:2502.04671v3 Announce Type: replace Abstract: Neural approaches to theorem proving require robust infrastructure for interfacing with interactive theorem provers (ITPs), extracting structured proof data, and executing proof search at scale. However, existing tooling is ofte…