Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions

1 March 2025

Papers citing "Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions"

3 / 3 papers shown

Title
Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Yixin Cui Haotian Lin Shuo Yang Yixiao Wang Yanjun Huang Hong Chen LM&Ro LRM ELM 213 5 0 26 May 2025
Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Chengkai Xu Jiaqi Liu Yicheng Guo Yanzhe Zhang Peng Hang Jian Sun 140 6 0 11 May 2025
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances Yaozu Wu Dongyuan Li Yankai Chen Xue Liu Henry Peng Zou Liancheng Fang Yangning Li Philip S. Yu Zhen Wang Philip S. Yu LLMAG 301 10 0 24 Feb 2025