关注
Zhaoye Fei
Zhaoye Fei
其他姓名费朝烨, Chaoye Fei
在 fudan.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Internlm: A multilingual language model with progressively enhanced capabilities
ILM Team
2023-01-06)[2023-09-27]. https://github. com/InternLM/InternLM, 2023
1552023
Internlm2 technical report
Z Cai, M Cao, H Chen, K Chen, K Chen, X Chen, X Chen, Z Chen, Z Chen, ...
arXiv preprint arXiv:2403.17297, 2024
692024
Internlm-math: Open math large language models toward verifiable reasoning
H Ying, S Zhang, L Li, Z Zhou, Y Shao, Z Fei, Y Ma, J Hong, K Liu, Z Wang, ...
arXiv preprint arXiv:2402.06332, 2024
152024
Towards more effective and economic sparsely-activated model
H Jiang, K Zhan, J Qu, Y Wu, Z Fei, X Zhang, L Chen, Z Dou, X Qiu, Z Guo, ...
arXiv preprint arXiv:2110.07431, 2021
102021
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?
J Wu, X Zhang, Y Zhu, Z Liu, Z Guo, Z Fei, R Lai, Y Wu, Z Cao, Z Dou
arXiv preprint arXiv:2209.06583, 2022
62022
Balanced Data Sampling for Language Model Training with Clustering
Y Shao, L Li, Z Fei, H Yan, D Lin, X Qiu
arXiv preprint arXiv:2402.14526, 2024
32024
WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset
J Qiu, H Lv, Z Jin, R Wang, W Ning, J Yu, CB Zhang, P Chu, Y Qu, R Peng, ...
arXiv preprint arXiv:2402.19282, 2024
22024
Query of CC: Unearthing Large Scale Domain-Specific Knowledge from Public Corpora
Z Fei, Y Shao, L Li, Z Zeng, H Yan, X Qiu, D Lin
arXiv preprint arXiv:2401.14624, 2024
22024
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding
Z Fei, Y Tian, Y Wu, X Zhang, Y Zhu, Z Liu, J Wu, D Kong, R Lai, Z Cao, ...
the 29th International Conference on Computational Linguistics, 2022
22022
Turn Waste into Worth: Rectifying Top- Router of MoE
Z Zeng, Q Guo, Z Fei, Z Yin, Y Zhou, L Li, T Sun, H Yan, D Lin, X Qiu
arXiv preprint arXiv:2402.12399, 2024
2024
基座模型训练中的数据与模型架构 (Data and Model Architecture in Base Model Training)
H Yan, Y Gao, C Fei, X Yang, X Qiu
Proceedings of the 22nd Chinese National Conference on Computational …, 2023
2023
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