Author

Siyuan Wang

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#machine learning Preprint Aug 2026

PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization

This work proposes PRQ-KMeans, which removes the global-mean component, refines centroids with Top-k similarity-weighted updates, and replaces full-codeword subtraction with a projection residual that removes each representation's selected-centroid component.

Yunxiao Luo, Siyuan Wang, Ben Chen et al. · 0 citations