AIBullisharXiv โ CS AI ยท 10h ago7/10
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SToRM: Supervised Token Reduction for Multi-modal LLMs toward efficient end-to-end autonomous driving
Researchers developed SToRM, a new framework that reduces computational costs for autonomous driving systems using multi-modal large language models by up to 30x while maintaining performance. The system uses supervised token reduction techniques to enable real-time end-to-end driving on standard GPUs without sacrificing safety or accuracy.