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DOPD reveals that intelligently routing supervision based on advantage gaps can significantly enhance capability transfer in distillation, outperforming conventional methods.
Achieving 97.2% accuracy on N-MNIST while consuming only 0.8 pJ/SOP could redefine energy-efficient neuromorphic computing.
GEAR-VLA achieves a remarkable 90.1% success rate in universal grasping tasks, showcasing its ability to generalize across unseen objects and diverse robot embodiments.
Teacher privilege in multimodal reasoning is redefined, showing that visually grounded cues can lead to superior performance in on-policy distillation.
AdaCodec cuts time-to-first-token from 9.26 seconds to just 1.62 seconds while outperforming traditional per-frame RGB encoding methods.
