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Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM

Fuente: arXiv

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Bibliographic Details
Main Authors:	Codefuse, Team, Ling, :, Cai, Wenting, Cao, Yuchen, Chen, Chaoyu, Chen, Chen, Chen, Siba, Cui, Qing, Di, Peng, Fang, Junpeng, Gong, Zi, Guo, Ting, He, Zhengyu, Huang, Yang, Li, Cong, Li, Jianguo, Li, Zheng, Lian, Shijie, Liu, BingChang, Luo, Songshan, Mao, Shuo, Shen, Min, Wu, Jian, Yang, Jiaolong, Yang, Wenjie, Ye, Tong, Yu, Hang, Zhang, Wei, Zhang, Zhenduo, Zhao, Hailin, Zheng, Xunjin, Zhou, Jun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language I.2.7
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2503.17793