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Zhejiang University
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Current GUI world models often produce visually appealing screens but lack the contextual consistency needed for effective multi-step agent interactions.
Despite advances in visual realism, models struggle with accurately capturing scientific reasoning and causal dynamics, revealing a critical gap in video generation capabilities.
Models trained on the new VideoKR dataset achieve superior performance in knowledge-intensive video reasoning, setting a new benchmark for the field.