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Proactively committing mid-entropy pivot positions can accelerate dLLM decoding by up to 18 times while improving accuracy.
DLLM inference gets a 2-8x speed boost without quality loss thanks to ReMix, a training-free method that cleverly mixes continuous representations into discrete decoding.
