Large language models (LLMs) provide a convenient interface for translating natural language commands into task plans for cyber-physical systems (CPSs). However, two gaps hinder their use for real execution: generated plans may misinterpret or omit the user's intent, and even a logically plausible plan may be infeasibl...
Jing-Lin Dai, Jia-Wan Wang, Rui-Qi Hong et al.· 0 citations
Formal specifications are essential for deductive program verification, providing semantic abstractions for compositional verification of complex software. However, manually constructing specifications is labor-intensive, motivating automated synthesis. Despite recent advances in large language models (LLMs), existing...
Le-Zhi Ma, Han Wang, Shang-Qing Liu et al.· 0 citations
As autonomous driving systems (ADS) are increasingly deployed in real-world environments, discovering diverse unsafe driving scenarios remains a fundamental yet difficult problem. Existing scenario generation and testing approaches often rely on black-box exploration or externally-observed heuristic feedback, which str...
Yulong Lyu, Rui-Qi Hong, Jia-Wan Wang et al.· Proceedings of the ACM on So...· 0 citations
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