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  • Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
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Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning

Fuente: arXiv
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Bibliographic Details
Main Authors: Ling Team, Han, Bin, Tang, Caizhi, Liang, Chen, Zhang, Donghao, Yuan, Fan, Zhu, Feng, Gao, Jie, Hu, Jingyu, Li, Longfei, Li, Meng, Zhang, Mingyang, Jiang, Peijie, Jiao, Peng, Zhao, Qian, Yang, Qingyuan, Shen, Wenbo, Yang, Xinxing, Zhang, Yalin, Ren, Yankun, Zhao, Yao, Cao, Yibo, Sun, Yixuan, Zhang, Yue, Fang, Yuchen, Lin, Zibin, Cheng, Zixuan, Zhou, Jun
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/2510.19338

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