Zobrazeno 1 - 10
of 1 104
pro vyhledávání: '"Wang Shusen"'
Autor:
Bu Hong, Fan Ying, Fan Zhaoqing, Hu Xichun, Li Man, Li Qiao, Liao Ning, Luo Ting, Nie Jianyun, Pan Yueyin, Qi Xiaowei, Shao Zhimin, Song Guohong, Sun Tao, Teng Yue-e, Tong Zhongsheng, Wang Jiayu, Wang Shusen, Wang Xue, Wang Yongsheng, Wang Zhonghua, Xu Binghe, Xu Ling, Xue Yan, Yang Wentao, Yao Herui, Ying Jianming, Yuan Peng, Zhang Jian, Zhang Qingyuan, Zhang Yongqiang, Zhao Jiuda
Publikováno v:
Journal of the National Cancer Center, Vol 3, Iss 4, Pp 266-272 (2023)
Treatment of breast cancer with low expression of human epidermal growth factor receptor 2 (HER2; HER2-low) has drawn much attention in recent years. With the proven therapeutic effect of trastuzumab deruxtecan (T-DXd) in patients with HER2-low (immu
Externí odkaz:
https://doaj.org/article/256852e51361455da409e1403a8b21fa
Autor:
Gu, Zhouhong, Zhang, Lin, Zhu, Xiaoxuan, Chen, Jiangjie, Huang, Wenhao, Zhang, Yikai, Wang, Shusen, Ye, Zheyu, Gao, Yan, Feng, Hongwei, Xiao, Yanghua
Detecting evidence within the context is a key step in the process of reasoning task. Evaluating and enhancing the capabilities of LLMs in evidence detection will strengthen context-based reasoning performance. This paper proposes a benchmark called
Externí odkaz:
http://arxiv.org/abs/2406.12641
Publikováno v:
Jixie chuandong, Vol 41, Pp 156-162 (2017)
A structure scheme for a novel 6-DOF hybrid machine tool( HMT) is proposed. In this scheme,a novel 4-PRP redundantly actuated parallel mechanism is proposed as the position module,which can realize three motion,with assistance of the 3-UPS&PU par
Externí odkaz:
https://doaj.org/article/cad71ee471e048148c13822b65a22d6c
Publikováno v:
Jixie chuandong, Vol 41, Pp 67-73 (2017)
The Lagrange method is applied to build dynamics model of the 6 DOF redundantly actuated hybrid machine tool. Firstly,the configuration of the 4-PRP + 3-UPS&PU machine tool is analyzed,and the coordinate system is established. Then,the expression of
Externí odkaz:
https://doaj.org/article/d075463c0a9043e8b13a37a06cd842bd
Publikováno v:
Jixie chuandong, Vol 40, Pp 23-27 (2016)
A novel 3T2 R redundantly actuated hybrid mechanism is proposed. First,the motion principle of realizing the three- dimensional translational and two- dimensional rotation motion of this mechanism are analyzed by using the screw theory. The DOF of th
Externí odkaz:
https://doaj.org/article/a557bb3aa7624c438f4e7de7b4e80be9
Publikováno v:
Jixie chuandong, Vol 40, Pp 33-37 (2016)
A novel 2- UPS + 2- RPU over- constraint parallel manipulator( PM) is proposed. The two RPU legs of this PM provide four constraints whereas two of them are over- constraints due to the particular arrangement of the joints in RPU legs. Firstly,th
Externí odkaz:
https://doaj.org/article/49a212deb5c94cdf8143fedf836efb28
Publikováno v:
Jixie chuandong, Vol 40, Pp 13-16 (2016)
A novel large swing angle 1T2R parallel mechanism is proposed. First,the one-dimensional translational and two-dimensional rotation motion of this mechanism are analyzed based on the relation of motion and constraint in screw theory. The DOF of the m
Externí odkaz:
https://doaj.org/article/d543f96b32534f109c8252b06fa96742
Autor:
Wang, Shusen
Recommender system (RS) is an established technology with successful applications in social media, e-commerce, entertainment, and more. RSs are indeed key to the success of many popular APPs, such as YouTube, Tik Tok, Xiaohongshu, Bilibili, and other
Externí odkaz:
http://arxiv.org/abs/2308.01204
Autor:
Gu, Zhouhong, Zhu, Xiaoxuan, Ye, Haoning, Zhang, Lin, Wang, Jianchen, Zhu, Yixin, Jiang, Sihang, Xiong, Zhuozhi, Li, Zihan, Wu, Weijie, He, Qianyu, Xu, Rui, Huang, Wenhao, Liu, Jingping, Wang, Zili, Wang, Shusen, Zheng, Weiguo, Feng, Hongwei, Xiao, Yanghua
New Natural Langauge Process~(NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present Xiezhi, the most comprehensive evaluation suite designed to assess holistic domain knowledge. Xiezhi com
Externí odkaz:
http://arxiv.org/abs/2306.05783
Large Language Models (LLMs) have attained the impressive capability to resolve a wide range of NLP tasks by fine-tuning high-quality instruction data. However, collecting human-written data of high quality, especially multi-turn dialogues, is expens
Externí odkaz:
http://arxiv.org/abs/2305.14994