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Author

Rui-Qi Hong

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Preprint Oct 2026

From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems

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
Open access Oct 2026

MG-Fuzz: Model-Guided Fuzzing for Unsafe Scenario Discovery in Autonomous Driving Systems

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. · 0 citations

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