Modern systems software is increasingly deployed across heterogeneous architectures such as x86, ARM, and RISC‑V, which provide substantially different memory-ordering guarantees. Under weak memory models, hardware and compilers may reorder memory operations or delay their visibility, causing concurrent code that appea...
Shao-Hao Wang, Cheng Wen, Yuan-Dao Cai et al.· Proceedings of the 41st IEEE...· 0 citations
Large language models (LLMs) have shown promise in code generation, but generating formally verifiable Rust programs from natural-language descriptions remains highly challenging. We present a benchmark called NL2VBench for generating verifiable Rust programs from natural-language descriptions using Verus.NL2VBench con...
Lian-He Hu, Cheng Wen, Du-Gang Liu et al.· Proceedings of the 41st IEEE...· 0 citations
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.· Proceedings of the 41st IEEE...· 0 citations
Formal verification provides strong correctness guarantees, but its practical adoption is limited by the cost of writing precise formal specifications. While large language models can generate candidate specifications, prompt-only generation and monolithic LLM pipelines often struggle with verifier feedback, iterative...
Wen-Jie Wu, Jun-Jie Hu, Cheng Wen et al.· Companion Proceedings of the...· 0 citations
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