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MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling

Fuente: arXiv

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Bibliographic Details
Main Authors:	MiniCPM Team, An, Wenhao, Chen, Yingfa, Fang, Yewei, Li, Jiayi, Li, Xin, Li, Yaohui, Li, Yishan, Li, Yuxuan, Lin, Biyuan, Liu, Chuan, Liu, Hezi, Liu, Siyuan, Lyu, Hongya, Pan, Yinxu, Ren, Shixin, Shen, Xingyu, Su, Zhou, Sun, Haojun, Sun, Yangang, Thai, Zhen Leng, Tian, Xin, Wang, Rui, Wang, Xiaorong, Wang, Yudong, Wu, Bo, Xu, Xiaoyue, Xu, Dong, Xue, Shuaikang, Yang, Jiawei, Zhang, Bowen, Zhang, Jinqian, Zhang, Letian, Zhang, Shengnan, Zhang, Xinyu, Zhang, Xinyuan, Zhang, Zhu, Zhao, Hengyu, Zhao, Jiacheng, Zheng, Zhi, Zhou, Jie, Zhou, Zihan, Wang, Shuo, Xiao, Chaojun, Han, Xu, Liu, Zhiyuan, Sun, Maosong
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2602.11761