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FedCMM achieves robust knowledge retention in MLLMs, outperforming traditional methods by effectively balancing adaptation and stability in dynamic environments.
A 1000x larger video reasoning dataset reveals early signs of emergent generalization, offering a new foundation for training and evaluating spatiotemporal AI.
