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Memory overload in autoregressive video generation can be tackled by absorbing historical context into model weights, achieving up to 50% cache reduction with minimal quality loss.
HEE transforms static image understanding into a dynamic, query-guided exploration that significantly boosts accuracy in high-resolution perception tasks.
Optimal block size selection can lead to a 4.20x speedup in diffusion-based speculative decoding, revolutionizing inference efficiency.
