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SOPD not only outperforms traditional distillation methods but also redefines how we think about trajectory corrections in model training.
MDLMPE reveals that adapting positional encodings to the dynamic token availability in masked diffusion models can lead to substantial performance gains across multiple tasks.
Distinguishing between what AI systems can do and what they should be allowed to do could redefine governance in agentic AI deployment.
