MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models

Fuente: arXiv

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Bibliographic Details
Main Authors:	Tastan, Nurbek, Laskaridis, Stefanos, Nandakumar, Karthik, Horvath, Samuel
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2602.06154