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Yuma Ichikawa

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#machine learning Preprint Sep 2026

Beyond Scalar Sensitivity: Activation-Aware Mixed-Precision LLM Quantization with Cross-Layer Refinement

Experiments on multiple LLMs across different bit budgets show that CASA achieves lower perplexity than the latest scalar-proxy baselines, especially at ultra-low bit-widths ($<3$ bits per weight), confirming the distortion bound as a practical indicator of scalar-proxy failure.

Akihiro Yoshida, Yuma Ichikawa · 1 citation

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