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Bridging the gap between real and synthetic video representations can dramatically enhance zero-shot video captioning accuracy.
Redundant neuron encoding can thwart white-box attacks, ensuring safety without sacrificing model performance.
HiLaR reveals that optimizing user preference modeling through hierarchical latent reasoning can significantly outperform traditional recommendation approaches.