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Even state-of-the-art MLLMs struggle to grasp the nuanced data interpretation and narrative coherence required for data videos, with significant performance gaps in causal reasoning and narrative structure.
DataMagic achieves over 95% success rate and an 83% quality improvement in data video generation by declaratively orchestrating multi-agent scene creation, surpassing even state-of-the-art LLMs.
DataSpace reveals that even the best multimodal models struggle with data agent accuracy, achieving only 66.34% in complex heterogeneous environments.
