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Visual generation supervision injects significant, yet often inaccessible, knowledge into UMMs, requiring novel alignment strategies to unlock its full potential for text-based reasoning.
Fragmentation in robot learning systems limits their effectiveness, but a unified framework could enable robots to reason and act more reliably in complex environments.
Multimodal perception is no longer just an add-on: GLM-5V-Turbo bakes it directly into the core of reasoning, planning, and action.