Dilu: A knowledge-driven approach to autonomous driving with large language models

L Wen, D Fu, X Li, X Cai, T Ma, P Cai, M Dou… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent advancements in autonomous driving have relied on data-driven approaches, which
are widely adopted but face challenges including dataset bias, overfitting, and …

[PDF][PDF] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

L Wen, D Fu, X Li, X Cai, T Ma, P Cai, M Dou, B Shi… - pjlab-adg.github.io
Recent advancements in autonomous driving have relied on data-driven approaches, which
are widely adopted but face challenges including dataset bias, overfitting, and …

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

L Wen, D Fu, X Li, X Cai, MA Tao, P Cai, M Dou… - The Twelfth International … - openreview.net
Recent advancements in autonomous driving have relied on data-driven approaches, which
are widely adopted but face challenges including dataset bias, overfitting, and …

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

L Wen, D Fu, X Li, X Cai, T Ma, P Cai, M Dou… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Recent advancements in autonomous driving have relied on data-driven approaches, which
are widely adopted but face challenges including dataset bias, overfitting, and …