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Optimizing Denoising Trajectories in dLLMs: A Lightweight Evolutionary Heuristic Approach
Diffusion Large Language Models (dLLMs) have recently emerged as a promising alternative to conventional Auto-Regressive (AR) Large Language Models (LLMs). By leveraging bidirectional attention and parallel decoding, dLLMs enable more efficient generation. However, they require a carefully designed
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