Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kang, Feiyang, Kuchnik, Michael, Padthe, Karthik, Vlastelica, Marin, Jia, Ruoxi, Wu, Carole-Jean, Ardalani, Newsha
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2510.01624