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Neuromorphic Diffusion Language Models: Addressing Compute and Memory Bottlenecks via Sparsity and Block Denoising

arXiv cs.CL — Computation and Language

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What the source reports

Research proposes Neuromorphic Diffusion Language Models to reduce LLM inference compute and memory bottlenecks through sparsity and block denoising.

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