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Author

Yuwei Liu

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Book Open access Oct 2026

Beyond Benchmarks: A Case Study of LLM-Generated Verus Specification Failures on Asterinas Vostd

Large language models (LLMs) have recently shown promise in automating formal specification generation, but their effectiveness has mainly been demonstrated on self-contained benchmark tasks. This paper examines the changes that occur when LLM-generated specifications are applied to an industrial verification project....

Du-Gang Liu, Ding Wang, Chao Jiang et al. · 0 citations
Book Oct 2026

VerusSeek: Retrieval-Augmented LLM-Based Proof Synthesis for Rust Programs

Formal verification of Rust programs with Verus provides strong correctness guarantees, but developing the auxiliary specifications and proofs still requires considerable manual effort. Existing LLM-based proof-synthesis agents can automate part of this process, yet their effectiveness on non-trivial tasks is often lim...

Yu-Cheng Zhang, Cheng Wen, Jia-Lun Cao et al. · 0 citations
Open access Jul 2026

KaPilot: LLM-Assisted Generation of Kani Specifications for Unsafe Rust Verification

KaPilot is presented, a multi-agent framework for automatically generating specifications to verify unsafe Rust memory safety using Kani, and the shuffle-and-implication strategy is applied to systematically determine the best specification from these candidates.

Ming-Hua Wang, Yu-Xi Ling, Ming-Zhi Gao et al. · 0 citations
Book Open access Aug 2026

StarVerus: LLM-Powered Multi-Agent Collaboration for Industrial Rust Code Verification Automation

A multi-agent collaborative framework, StarVerus, to automate the verification of industrial Rust code and introduces a planner-repairer-actor-rewriter multi-agent paradigm to further enhance the proof repair capabilities.

Chao Jiang, Ding Wang, Du-Gang Liu et al. · 0 citations
Book Open access Apr 2026

HarnessLLM: Rust Verification Harness Generation with Large Language Models

This paper presents HarnessLLM, an automated workflow that leverages LLMs to generate verification harnesses for Rust code directly from existing test suites and is the first work to use LLMs for generating harnesses aimed at memory safety verification in real-world Rust projects.

Minghua Wang, Yuwei Liu, Lin Huang · 0 citations
Book Open access Aug 2026

StarVerus: LLM-Powered Multi-Agent Collaboration for Industrial Rust Code Verification Automation

Creating code specifications is a crucial measure to improve the trustworthiness of many industrial systems implemented in Rust with high security requirements. Because writing specifications requires highly specialized professionals and is time-consuming, the automatic generation of specifications, enabled by large la...

Chao Jiang, Ding Wang, Dugang Liu et al. · 0 citations

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