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DARD achieves a remarkable 2.71脳 speedup in dLLM inference while enhancing output quality by 4.35 points on CIDEr, redefining the efficiency landscape for large language models.
VIG-Sampler boosts multimodal generation quality by leveraging visual attention, outperforming traditional methods with fewer decoding steps.
