When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zheng, Yingming, Li, Hanqi, Yu, Kai, Chen, Lu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2509.18762