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Jongmin Kim

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#machine learning Preprint Oct 2026

Quantize by Drift: Label-Free Mixed-Precision Post-Training Quantization for Text Embedders

Output drift is a robust coarse sensitivity signal, not a universally optimal allocation objective: it avoids the catastrophic failures of the transferred signed-geometry adaptation and can remain usable at stressed budgets where uniform collapses, but fine-grained redistribution around a strong uniform operating point...

HyoJung Han, Jongmin Kim, S. Jeon · 0 citations

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