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Unlocking Lossless Speedups in LLMs via Discrete Diffusion

64 upvotes · 3 SEP 2026 · Subham Sekhar Sahoo, Lingjie Chen, Khiem Pham et al.

This paper proposes a new approach to Large Language Models (LLMs) that uses diffusion to speed up generation without sacrificing quality, allowing for faster and more efficient language processing. Practitioners may care about this research if they need to process large amounts of text quickly and efficiently.

diffusion-augmented modelscontinual learningparallel generationvision-language modelsbenchmarks