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GAPL achieves a remarkable reduction in collision rates and displacement errors, showcasing the potential of LLMs in trajectory planning for autonomous driving.
E2LLM cuts average waiting time by over 50% in high-demand scenarios by intelligently partitioning LLMs across heterogeneous devices.
Autonomous vehicles can drive more safely and reliably by grounding LLM reasoning in a "Commonsense World" that quantifies and leverages the trustworthiness of LLM outputs.
