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The University of Hong Kong
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Semantic structure, not just token-level feedback, unlocks significant gains in RL-driven text-to-image prompt engineering.
Decoupling denoising and context writing parameters in autoregressive video models unlocks unprecedented long-horizon generation capabilities, extending continuous output to 24 hours from just 5-second training rollouts.
A groundbreaking pipeline has generated over 8,000 hours of action-conditioned video, overcoming the limitations of real-world data collection.