Zobrazeno 1 - 10
of 4 124
pro vyhledávání: '"Zhang, Zhiming"'
Autor:
Luo, Xianzhen, Wang, Yixuan, Zhu, Qingfu, Zhang, Zhiming, Zhang, Xuanyu, Yang, Qing, Xu, Dongliang, Che, Wanxiang
The rapid growth in the parameters of large language models (LLMs) has made inference latency a fundamental bottleneck, limiting broader application of LLMs. Speculative decoding represents a lossless approach to accelerate inference through a guess-
Externí odkaz:
http://arxiv.org/abs/2408.08696
This study introduces an innovative method for analyzing the impact of various interventions on customer churn, using the potential outcomes framework. We present a new causal model, the tensorized latent factor block hazard model, which incorporates
Externí odkaz:
http://arxiv.org/abs/2405.11377
Autor:
Hou, Qincheng, Huang, Siying, Mo, Naida, Wang, Jindong, Wei, Zhengjun, Yu, Yafei, Zhao, Tianming, Zhang, Zhiming
Semi-quantum key distribution (SQKD) allows sharing random keys between a quantum user and a classical user. However, implementing classical user operations is challenging, posing a hurdle to achieving the Single-state protocol. By using the "selecti
Externí odkaz:
http://arxiv.org/abs/2405.07469
Autor:
Luo, Xianzhen, Zhu, Qingfu, Zhang, Zhiming, Wang, Xu, Yang, Qing, Xu, Dongliang, Che, Wanxiang
Instruction tuning plays a pivotal role in Code Large Language Models (Code LLMs) for the task of program synthesis. Presently, two dominant paradigms for collecting tuning data are natural-instruct (human-written) and self-instruct (automatically ge
Externí odkaz:
http://arxiv.org/abs/2403.00338
Autor:
Luo, Xianzhen, Zhu, Qingfu, Zhang, Zhiming, Qin, Libo, Zhang, Xuanyu, Yang, Qing, Xu, Dongliang, Che, Wanxiang
Program of Thoughts (PoT) is an approach characterized by its executable intermediate steps, which ensure the accuracy of the logical calculations in the reasoning process. Currently, PoT primarily uses Python. However, relying solely on a single lan
Externí odkaz:
http://arxiv.org/abs/2402.10691
Autor:
Luo, Zhangjie1,2 (AUTHOR), Zhang, Zhiming1,2 (AUTHOR), Tai, Junwei1,2 (AUTHOR), Zhang, Lei1,2 (AUTHOR), Gao, Chenglong1,2 (AUTHOR), Ma, Hui Feng1,2 (AUTHOR), Jiang, Wei Xiang1,2 (AUTHOR), Cheng, Qiang1,2 (AUTHOR) qiangcheng@seu.edu.cn, Cui, Tie Jun1,2 (AUTHOR) tjcui@seu.edu.cn
Publikováno v:
Advanced Science. 9/11/2024, Vol. 11 Issue 34, p1-14. 14p.
Autor:
Zi, Yinqiang1 (AUTHOR), Zhang, Zhiming2 (AUTHOR), Zhao, Ke1 (AUTHOR), Yang, Xiuyao1 (AUTHOR), Zhu, Ling1 (AUTHOR), Yin, Tuo1 (AUTHOR), Chen, Chaoying1 (AUTHOR), Wen, Ke1 (AUTHOR), Li, Xulin1 (AUTHOR), Zhang, Hanyao1 (AUTHOR) zhanghanyao@swfu.edu.cn, Liu, Xiaozhen2 (AUTHOR) 15198729095@swfu.edu.cn
Publikováno v:
BMC Plant Biology. 9/6/2024, Vol. 24 Issue 1, p1-21. 21p.
In recent years, real image super-resolution (SR) has achieved promising results due to the development of SR datasets and corresponding real SR methods. In contrast, the field of real video SR is lagging behind, especially for real raw videos. Consi
Externí odkaz:
http://arxiv.org/abs/2209.12475
Publikováno v:
Journal of Natural Fibers, Vol 21, Iss 1 (2024)
The current advanced neural network models are expanding in size and complexity to achieve improved detection accuracy. This study designs a lightweight fabric defect detection algorithm based on YOLOv7-tiny, called YOLOv7-tiny-MGCK. Its objectives a
Externí odkaz:
https://doaj.org/article/a4cd021ce1274015bb3affcbe29ef138
Publikováno v:
In Heliyon 30 October 2024 10(20)