Arnaud Doucet

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Researcher with public evidence across AI research, Models & releases.

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Senior Staff Research Scientist @Google DeepMind https://arnauddoucet.github.io/

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Arnaud Doucet reposted
arxiv cs.CL @arxiv-cs-cl.bsky.social

DiffusionGemma Team, Adrien Ali Ta\"iga, James Assiene, Daniele Calandriello, Rahma Chaabouni, Jo\~ao Gante, Tamara von Glehn, Nate Keating, Chris Knutsen, Martin Kukla, Tianlin Liu, Ivan Lobov, Ofir Nabati, ... DiffusionGemma Technical Report https://arxiv.org/abs/2608.00146

DiffusionGemma Technical Report arxiv.org
AI Weekly's analysis
  • DiffusionGemma reportedly generates around 1,500 output tokens per second on a single NVIDIA H100 by refining blocks of 256 tokens in parallel.
  • The model is a fine-tune of the mixture-of-experts Gemma 4 base, which has 3.8B activated and 25.2B total parameters.
  • Its two-stage training pipeline of supervised denoising plus RL with sampler distillation used less than 10% of the original AR model's token budget.
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