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Xiang Meng

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#machine learning May 2026

ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models

This work proposes ADMM-Q, a novel weight quantization algorithm that considers the layer-wise quantization problem, based on a combinatorial variant of the Alternating Direction Method of Multipliers (ADMM).

Ryan Lucas, Mehdi Makni, Xiang Meng et al. · arXiv.org · 1 citation