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InstructMixup achieves superior performance in visual model training by creating robust, label-consistent samples from a single image, outperforming nine competing methods.
Latent-iterative reasoning in VLA models may actually decrease robustness, collapsing under perturbations while simpler reasoning approaches hold strong.
