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Exploiting temporal coherence allows for a dramatic reduction in noise and a fivefold increase in inference efficiency for weakly supervised segmentation.
Multi-agent collaboration and retrieval augmentation can overcome the limitations of static parametric memory in LLMs, enabling more nuanced and accurate multimodal emotion recognition.