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Mogo AI Ltd, Nanjing University
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Achieving sub-centimeter accuracy in trajectory-controlled text-to-motion generation without sacrificing the quality of the pretrained model could revolutionize animation workflows.
LLMs can be sped up by 21% at inference time without retraining, thanks to a new sparsity method that smartly prunes activations based on the importance of the weights they interact with.
