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Fine-tuning a language model for crowd simulation can significantly improve accuracy using only aggregate mobility data, achieving a 25% reduction in destination-share error.
LLMs can now drive robots to navigate complex environments with improved safety and efficiency, especially around vulnerable pedestrians, by fusing LiDAR and vision data for enhanced spatial reasoning.
