Knowledge Collapse in LLMs: When Fluency Survives but Facts Fail under Recursive Synthetic Training

Fuente: arXiv

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Bibliographic Details
Main Authors:	Keisha, Figarri, Wu, Zekun, Wang, Ze, Koshiyama, Adriano, Treleaven, Philip
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2509.04796