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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Yamato Narita

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#machine learning Preprint Sep 2026

Understanding LLM Quantization through Activation-Guided Compensation and Orthogonal Residuals

Practical guidelines for applying randomized Hadamard rotation, sign selection, and channel scaling are derived, which explain how random signs suppress constructive interference among persistent outlier channels, how sampling multiple sign patterns can improve transformation selection, and how second-moment balancing...

Yamato Narita, Issei Sato · 0 citations

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