10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.SE2024★ 10 cited
AutoVerus: Automated Proof Generation for Rust Code
Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu +10
Generative AI has shown its values for many software engineering tasks. Still in its infancy, large language model (LLM)-based proof generation lags behind LLM-based code generatio…
cs.SE2023★ 3 cited
E&V: Prompting Large Language Models to Perform Static Analysis by Pseudo-code Execution and Verification
Yu Hao, Weiteng Chen, Ziqiao Zhou +1
Static analysis, the process of examining code without executing it, is crucial for identifying software issues. Yet, static analysis is hampered by its complexity and the need for…
cs.FL2023★ 1 cited
Leveraging Large Language Models for Automated Proof Synthesis in Rust
Jianan Yao, Ziqiao Zhou, Weiteng Chen +1
Formal verification can provably guarantee the correctness of critical system software, but the high proof burden has long hindered its wide adoption. Recently, Large Language Mode…