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We propose FreeDave (Free Draft-and-Verification), a fast sampling algorithm for diffusion language models, which achieves lossless parallel decoding via a pipeline of parallel-decoded candidate ...

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Abstract: We study the optimal parallelization strategy of large language models (LLMs) and demonstrate that LLM training workloads generate sparse communication patterns in the network. Consequently, ...