AnalysisAI ModelsOctober 23, 2026

T2Quant quantizes diffusion language models per denoising step

Read original source →arxiv.org

T2Quant allocates activation precision dynamically across denoising steps, using a label-free sensitivity signal that predicts task- and time-dependent sensitivity. The paper reports improved quantization for diffusion language models versus fixed-precision approaches.

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