Zobrazeno 1 - 10
of 1 996
pro vyhledávání: '"Chen Zhipeng"'
Publikováno v:
Fenmo yejin jishu, Vol 42, Iss 3, Pp 234-241 (2024)
Fe–29Ni–17Co powder mixes were obtained by mixing nickels and cobalt powders, using the reduced iron powders and carbonyl iron powders as the raw materials, respectively, and the sintered Fe–29Ni–17Co Kovar alloy samples were prepared by pres
Externí odkaz:
https://doaj.org/article/679d3e5bbab64ff79f7445f432ad2a32
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 5, Pp 117-126 (2024)
The composition of high-damage-tolerance dual-phase TC21 (Ti-6Al-2Zr-2Sn-2Mo-2Nb-1.5Cr) were analyzed on the basis of the dual-cluster formula of Ti-6Al-4V, consisting of 13 α-Ti and 4 β-Ti unit. Its β-Ti unit is reduced from 5 to 4 compared with
Externí odkaz:
https://doaj.org/article/b07a4d88a469412bb55e3ec2669dd2ab
Autor:
CHEN Zhipeng
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 6, Pp 111-115 (2023)
Working-class underwater vehicle require power supply devices that are high in power density, efficiency and redundancy. To meet these needs, this study designed a high-voltage DC converter system that operates with multiple converters running in par
Externí odkaz:
https://doaj.org/article/ef9ccecadbf24d9f84fd6804f9d90775
Publikováno v:
电力工程技术, Vol 42, Iss 6, Pp 197-205 (2023)
Overheating fault caused by poor contacts of plum blossom contact is one of the typical defects of switchgear and gas insulation combined appliances. The study of current-carrying friction characteristics and remaining life prediction of plum blossom
Externí odkaz:
https://doaj.org/article/6e747ac0f3a34204ab786126768ecf6e
Autor:
Pan Yuan, Wang Zhijiang, Wu Songtao, Zhang Ming, Chen Zhipeng, Rao Bo, Zhu Ping, Yang Yong, Ding Yonghua
Publikováno v:
中国工程科学, Vol 24, Iss 3, Pp 205-213 (2022)
The fusion neutron source is of great significance for conducting material testing for future fusion reactors, as it can genuinely reflect the change of material properties under fusion neutron irradiation. The International Fusion Materials Irradiat
Externí odkaz:
https://doaj.org/article/b37c82dfab0b48cbb430d6dc111a66d7
Autor:
Jiang, Jinhao, Chen, Zhipeng, Min, Yingqian, Chen, Jie, Cheng, Xiaoxue, Wang, Jiapeng, Tang, Yiru, Sun, Haoxiang, Deng, Jia, Zhao, Wayne Xin, Liu, Zheng, Yan, Dong, Xie, Jian, Wang, Zhongyuan, Wen, Ji-Rong
Recently, test-time scaling has garnered significant attention from the research community, largely due to the substantial advancements of the o1 model released by OpenAI. By allocating more computational resources during the inference phase, large l
Externí odkaz:
http://arxiv.org/abs/2411.11694
Autor:
Chen, Zhipeng, Song, Liang, Zhou, Kun, Zhao, Wayne Xin, Wang, Bingning, Chen, Weipeng, Wen, Ji-Rong
Multi-lingual ability transfer has become increasingly important for the broad application of large language models (LLMs). Existing work highly relies on training with the multi-lingual ability-related data, which may be not available for low-resour
Externí odkaz:
http://arxiv.org/abs/2410.07825
Autor:
YAN Dishi, LIU Zhengchao, ZHENG Jun, JIANG Tao, CHEN Zhipeng, WANG Yongquan, ZHOU Xiaozhou, ZHOU Yuanxiu, ZHOU Zhansong, SHEN Wenhao
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 3, Pp 255-260 (2021)
Objective To compare the efficacy and safety of photoselective sharp-enucleation of prostate with end-firing fibre (PSEP) and tranuretheral resection of the prostate (TURP) in the treatment of large-size benign prostatic hyperplasia (BPH). Methods Ac
Externí odkaz:
https://doaj.org/article/49740db5028b4bc59b4ad0b576f7d409
Autor:
Chen, Jie, Chen, Zhipeng, Wang, Jiapeng, Zhou, Kun, Zhu, Yutao, Jiang, Jinhao, Min, Yingqian, Zhao, Wayne Xin, Dou, Zhicheng, Mao, Jiaxin, Lin, Yankai, Song, Ruihua, Xu, Jun, Chen, Xu, Yan, Rui, Wei, Zhewei, Hu, Di, Huang, Wenbing, Wen, Ji-Rong
Continual pre-training (CPT) has been an important approach for adapting language models to specific domains or tasks. To make the CPT approach more traceable, this paper presents a technical report for continually pre-training Llama-3 (8B), which si
Externí odkaz:
http://arxiv.org/abs/2407.18743
Autor:
Zhu, Yutao, Zhou, Kun, Mao, Kelong, Chen, Wentong, Sun, Yiding, Chen, Zhipeng, Cao, Qian, Wu, Yihan, Chen, Yushuo, Wang, Feng, Zhang, Lei, Li, Junyi, Wang, Xiaolei, Wang, Lei, Zhang, Beichen, Dong, Zican, Cheng, Xiaoxue, Chen, Yuhan, Tang, Xinyu, Hou, Yupeng, Ren, Qiangqiang, Pang, Xincheng, Xie, Shufang, Zhao, Wayne Xin, Dou, Zhicheng, Mao, Jiaxin, Lin, Yankai, Song, Ruihua, Xu, Jun, Chen, Xu, Yan, Rui, Wei, Zhewei, Hu, Di, Huang, Wenbing, Gao, Ze-Feng, Chen, Yueguo, Lu, Weizheng, Wen, Ji-Rong
Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many open-source LLMs have been released with technical reports, the lack of
Externí odkaz:
http://arxiv.org/abs/2406.19853