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State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University
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Pruning 77.8% of visual tokens without losing performance could revolutionize the efficiency of multimodal large language models.
Autonomous driving gets a boost: EvoDriveVLA's collaborative perception-planning distillation framework significantly enhances VLA model performance by tackling perception degradation and planning instability.
