most citedSurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data

13 citations · 13 across the 1 of their papers we have counts for

collaborators

1 paper

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…