13 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.RO2024★ 1 cited
Driving Style Alignment for LLM-powered Driver Agent
Ruoxuan Yang, Xinyue Zhang, Anais Fernandez-Laaksonen +2
Recently, LLM-powered driver agents have demonstrated considerable potential in the field of autonomous driving, showcasing human-like reasoning and decision-making abilities.Howev…
cs.HC2023★ 13 cited
SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data
Ye Jin, Ruoxuan Yang, Zhijie Yi +9
Leveraging advanced reasoning capabilities and extensive world knowledge of large language models (LLMs) to construct generative agents for solving complex real-world problems is a…