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Frontier multimodal models are beginning to predict future world states, but current benchmarks reveal vast performance disparities and highlight the critical role of underlying language model capabilities.
Regularization in federated learning can be significantly influenced by the choice of update masks, revealing a critical trade-off between generalization and training efficacy.
AutoDesign outperforms existing design systems by aligning with human design principles and achieving superior poster generation quality through recursive self-improvement.
Executable Blender code transforms text-to-video generation, enabling unprecedented control over scene dynamics and visual fidelity.