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Nanjing University
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Turning past programming failures into reusable knowledge boosts automated repair performance by 3.7% on a multimodal benchmark.
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.
LLMs can be taught to "think longer" and explore more diverse reasoning paths in-context via a simple length-incentivized reward, leading to improved generalization.
