Zobrazeno 1 - 10
of 688
pro vyhledávání: '"Zhu, Yonghua"'
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 11, Pp 74-81 (2024)
【Objective】 The Huaibei Plain in central China is a major agricultural production area where winter wheat often experiences drought during its growing season. This study analyses the spatiotemporal variation in drought during the winter wheat gro
Externí odkaz:
https://doaj.org/article/90c404d9081d46259ab31b3973656dc0
Autor:
Bao, Qiming, Peng, Alex Yuxuan, Deng, Zhenyun, Zhong, Wanjun, Gendron, Gael, Pistotti, Timothy, Tan, Neset, Young, Nathan, Chen, Yang, Zhu, Yonghua, Denny, Paul, Witbrock, Michael, Liu, Jiamou
Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner. Nevertheless, the intricate nature of logical reasoning poses challenges when gathering reliable data from the web to
Externí odkaz:
http://arxiv.org/abs/2305.12599
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 6, Pp 76-85 (2024)
【Objective】 Drought is a significant abiotic stress affecting agricultural production in many regions of China. This study investigates the spatiotemporal variations in drought during the growing seasons of summer maize in the Huaibei Plain. 【M
Externí odkaz:
https://doaj.org/article/312a8cd9278144c5bdadf667a90ea3fc
Multi-hop question answering (QA) requires reasoning over multiple documents to answer a complex question and provide interpretable supporting evidence. However, providing supporting evidence is not enough to demonstrate that a model has performed th
Externí odkaz:
http://arxiv.org/abs/2209.06923
Effective multi-hop question answering (QA) requires reasoning over multiple scattered paragraphs and providing explanations for answers. Most existing approaches cannot provide an interpretable reasoning process to illustrate how these models arrive
Externí odkaz:
http://arxiv.org/abs/2206.08486
The classification service over a stream of data is becoming an important offering for cloud providers, but users may encounter obstacles in providing sensitive data due to privacy concerns. While Trusted Execution Environments (TEEs) are promising s
Externí odkaz:
http://arxiv.org/abs/2203.01438
Autor:
Xu, Yingying, Lü, Haishen, Yagci, Ali Levent, Zhu, Yonghua, Liu, Di, Wang, Qimeng, Xu, Haiting, Pan, Ying, Su, Jianbin
Publikováno v:
In Agricultural Water Management 1 December 2024 305
Autor:
Liu, Sizhen, Bu, Zhigang, Zhang, Xin, Chen, Yue, Sun, Qianlong, Wu, Fei, Guo, Sheng, Zhu, Yonghua, Tan, Xinqiu
Publikováno v:
In International Journal of Biological Macromolecules August 2024 274 Part 1
Publikováno v:
In Information Fusion July 2024 107
Autor:
Chen, ZuXi, Lin, HongKai, Mei, Meng, Zhu, YongHua, Wang, XiaoYong, Xu, ZhongWei, Luo, XiangYu
Publikováno v:
In Heliyon 15 June 2024 10(11)