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Coordinating large robot fleets just got easier: HECTOR's hierarchical approach lets humans supervise at different levels, slashing both computational cost and operator effort.
Diffusion models can now generate user preferences for multi-behavior sequential recommendation, outperforming traditional methods by better capturing uncertainty and enabling more diverse recommendations.
Achieve lossless acceleration of ranking models by structurally re-parameterizing feature fusion matrix multiplication, sidestepping the accuracy drop common in lightweighting and distillation.
