FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning

FLAME is a Mixture-of-Experts framework for deploying multimodal models across multiple tasks. It achieves joint pretraining and continual learning by using modality-specific routers and low-rank memory compression to handle new tasks without forgetting old knowledge. This allows the model to flexibly combine different modalities for various applications.

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