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The future of autonomous vehicles lies in the convergence of human-centricdesign and advanced AI capabilities. Autonomous vehicles of the future will notonly transport passengers but also interact and adapt to their desires, makingthe journey comfortable, efficient, and pleasant. In this paper, we present anovel framework that leverages Large Language Models (LLMs) to enhanceautonomous vehicles' decision-making processes. By integrating LLMs' naturallanguage capabilities and contextual understanding, specialized tools usage,synergizing reasoning, and acting with various modules on autonomous vehicles,this framework aims to seamlessly integrate the advanced language and reasoningcapabilities of LLMs into autonomous vehicles. The proposed framework holds thepotential to revolutionize the way autonomous vehicles operate, offeringpersonalized assistance, continuous learning, and transparent decision-making,ultimately contributing to safer and more efficient autonomous drivingtechnologies.

Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles