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arXiv · 2502.05344

RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation

Sicheng Zhong·Jiading Zhu·Yifang Tian·Xujie Si
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Abstract

Scaling automated formal verification to real-world projects requires resolving cross-module dependencies and global contexts, which are challenges overlooked by existing function-centric methods. We introduce RagVerus, a framework that synergizes retrieval-augmented generation with context-aware prompting to automate proof synthesis for multi-module repositories, achieving a 27% relative improvement on our novel RepoVBench benchmark -- the first repository-level dataset for Verus with 383 proof completion tasks. RagVerus triples proof pass rates on existing benchmarks under constrained language model budgets, demonstrating a scalable and sample-efficient verification.

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Sicheng Zhong, Jiading Zhu, Yifang Tian, Xujie Si. 2025-02-07. RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation. https://arxiv.org/abs/2502.05344

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