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By preserving the semantics of pretrained models while achieving superior compositional generalization, InternVLA-A1.5 redefines how robots can learn and execute complex tasks.
Achieving a new state-of-the-art in few-shot anomaly detection, CMDS-AD boosts performance by over 5% in extreme settings through innovative cross-modal decoupling.