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By structurally disentangling temporal joint planning from frame-level manipulation, StructBiHOI achieves superior long-horizon stability and motion realism in bimanual hand-object interaction generation.
Shifting the powertrain of a powered prosthetic knee *above* the joint could boost walking speed and cadence, challenging the conventional focus on simply minimizing total mass.
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.
