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DiffusionGemma Technical Report research paper by Google DeepMind, 2026

Google DeepMind · Jul 31, 2026 · Foundation models · 1 citations · 40 upvotes · unverified

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What it shows

DiffusionGemma is a fine-tuned mixture-of-experts language model that uses discrete diffusion to generate text blocks in parallel, achieving high speed while preserving capabilities like multimodal inputs and reasoning.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
DiffusionGemma Team, Adrien Ali Taïga, James Assiene and 41 more
arXiv
2608.00146 · PDF
Citations
1, 1 influential · Semantic Scholar
Upvotes
40 · Hugging Face
Lab
Google DeepMind · on Companies · on Acquisitions

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 1Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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