Zobrazeno 1 - 10
of 1 869
pro vyhledávání: '"WANG Junhui"'
Publikováno v:
Shanghai yufang yixue, Vol 35, Iss 11, Pp 1111-1117 (2023)
ObjectiveTo analyze the online public Q&A texts on HPV vaccine， focus on the important issues related to HPV vaccination and cervical cancer prevention in China， and propose strategies and suggestions.MethodsThe latent Dirichlet allocation （LDA
Externí odkaz:
https://doaj.org/article/dda37a36e6fd423a91a38e7fbb7d3795
Autor:
Xu Yinan, Mao Lihui, Shao Chida, Zhu Bin, Meng Fandong, Zhang Qinghua, Yu Zhipeng, Wang Junhui
Publikováno v:
E3S Web of Conferences, Vol 536, p 03001 (2024)
With the continuous development of industry, the emission of volatile organic compounds (VOCs) continues to increase, and the pollution problem becomes increasingly serious. For example, in industrial production processes such as papermaking and trad
Externí odkaz:
https://doaj.org/article/c067da01b0444a15b45a55f1763c5767
How Privacy-Savvy Are Large Language Models? A Case Study on Compliance and Privacy Technical Review
Autor:
Zhu, Xichou, Liu, Yang, Shen, Zhou, Liu, Yi, Li, Min, Chen, Yujun, John, Benzi, Ma, Zhenzhen, Hu, Tao, Li, Zhi, Yang, Bolong, Wang, Manman, Xie, Zongxing, Liu, Peng, Cai, Dan, Wang, Junhui
The recent advances in large language models (LLMs) have significantly expanded their applications across various fields such as language generation, summarization, and complex question answering. However, their application to privacy compliance and
Externí odkaz:
http://arxiv.org/abs/2409.02375
Autor:
Liu, Yang, Zhu, Xichou, Shen, Zhou, Liu, Yi, Li, Min, Chen, Yujun, John, Benzi, Ma, Zhenzhen, Hu, Tao, Li, Zhi, Xu, Zhiyang, Luo, Wei, Wang, Junhui
Large Language Models (LLMs) have recently displayed their extraordinary capabilities in language understanding. However, how to comprehensively assess the sentiment capabilities of LLMs continues to be a challenge. This paper investigates the abilit
Externí odkaz:
http://arxiv.org/abs/2409.02370
Publikováno v:
e-Polymers, Vol 21, Iss 1, Pp 616-624 (2021)
Cancer prevention and treatment are currently the focus of most research. Dose verification is an important step for reducing the improper dose deposition during radiotherapy. To mend the traditional gel dosimeters for 3D dose verification, a novel r
Externí odkaz:
https://doaj.org/article/74d4fb88a36442bcadc63b1de8a9abf7
As network data has become increasingly prevalent, a substantial amount of attention has been paid to the privacy issue in publishing network data. One of the critical challenges for data publishers is to preserve the topological structures of the or
Externí odkaz:
http://arxiv.org/abs/2406.14772
General-purpose processor vendors have integrated customized accelerator in their products due to the widespread use of General Matrix-Matrix Multiplication (GEMM) kernels. However, it remains a challenge to further improve the flexibilityand scalabi
Externí odkaz:
http://arxiv.org/abs/2404.19180
Directed acyclic graph (DAG) has been widely employed to represent directional relationships among a set of collected nodes. Yet, the available data in one single study is often limited for accurate DAG reconstruction, whereas heterogeneous data may
Externí odkaz:
http://arxiv.org/abs/2310.10239
Dynamic networks consist of a sequence of time-varying networks, and it is of great importance to detect the network change points. Most existing methods focus on detecting abrupt change points, necessitating the assumption that the underlying networ
Externí odkaz:
http://arxiv.org/abs/2310.08268
We propose a general approach to evaluating the performance of robust estimators based on adversarial losses under misspecified models. We first show that adversarial risk is equivalent to the risk induced by a distributional adversarial attack under
Externí odkaz:
http://arxiv.org/abs/2309.00771