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DARTree achieves a staggering 9.73× speedup in autoregressive decoding while accepting nearly 99% more tokens per round than existing methods.
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.
Uncover a model's "digital DNA" – its pretraining data mixture – from its outputs alone, even without access to the training data.
LLMs can be surprisingly effective vision models, even without full fine-tuning, thanks to inherent foundational properties in specific layers that transfer via a simple "random label bridge training" technique.
