Widening the Gap: Exploiting LLM Quantization via Outlier Injection

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zhan, Xiaohua, Egashira, Kazuki, Staab, Robin, Vero, Mark, Vechev, Martin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2605.15152