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      Microsoft sees its carbon emissions soar on a 168% glut in AI energy demand, “we recognize that we must also bring more carbon-free electricity onto the grids.”

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    Home»Development»Machine Learning»Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion

    Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion

    July 9, 2025

    Discrete diffusion is a promising framework for modeling and generating discrete data. In this work, we present Target Concrete Score Matching (TCSM), a novel and versatile objective for training and fine-tuning discrete diffusion models. TCSM provides a general framework with broad applicability. It supports pre-training discrete diffusion models directly from data samples, and many existing discrete diffusion approaches naturally emerge as special cases of our more general TCSM framework. Furthermore, the same TCSM objective extends to post-training of discrete diffusion models, including…

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