SToRM: Supervised Token Reduction for Multi-modal LLMs toward efficient end-to-end autonomous driving

SToRM: Supervised Token Reduction for Multi-modal LLMs toward efficient end-to-end autonomous driving explores SToRM offers a token reduction framework for efficient multi-modal LLMs in autonomous driving, promising reduced computational costs without sacrificing performance.. Commercial viability score: 7/10 in Autonomous Driving.