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A paper introduces TC-LeWM, applying regularization losses like SIGReg and VISReg to temporal latent residuals to enable multi-task learning in LeWM, significantly improving success rates on the LIBERO robot arm benchmark.
WorldDiT is a new, small (<1B parameters) robotics model that unifies world prediction and control, achieving top performance on the LIBERO benchmark without requiring a VLM.