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Exploration as a pretraining axis can boost generative model performance by up to 36%, revolutionizing how we approach end-to-end generation.
Achieving up to 60% success in robot manipulation by aligning language and action predictions without sacrificing pretrained visual representations reveals a breakthrough in VLA policy training.
