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PILL achieves up to 6.0 BLEU-2 improvement on text infilling while running 1.82x faster than the best existing method, revolutionizing efficiency in diffusion language models.
Safety in AI can now evolve from within the model itself, drastically enhancing long-term interaction capabilities without external constraints.
Astar not only surpasses human experts in proposing evolution directions but also automates the entire iteration process, leading to substantial revenue gains.
Synthesizing 48,000 interaction trajectories without human input enables a humanoid robot to learn complex loco-manipulation tasks effectively.