Latent Chain-of-Thought Improves End-to-End Driving
Analysis
This ArXiv paper explores the application of Latent Chain-of-Thought to improve end-to-end driving models, which is a promising area of research. The research likely focuses on enhancing the reasoning and planning capabilities of autonomous driving systems.
Key Takeaways
Reference
“The paper is available on ArXiv.”