Zobrazeno 1 - 10
of 339
pro vyhledávání: '"Wang, Shaolei"'
ChatGPT has demonstrated impressive performance in various downstream tasks. However, in the Chinese Spelling Correction (CSC) task, we observe a discrepancy: while ChatGPT performs well under human evaluation, it scores poorly according to tradition
Externí odkaz:
http://arxiv.org/abs/2311.08219
Autor:
Qiao, Fengzhi, Wang, Shaolei, He, Jian, Hung, Weilian, Ma, Xia, Gong, Pimin, Li, Jiadong, Sun, Ting, De Souza, Cristabelle, Zhang, Lanwei, Lin, Kai
Publikováno v:
In Food Chemistry 30 November 2024 459
Autor:
Zhang, Chengxin, Yang, Lulu, Zhao, Lin, Liu, Yu, Hong, Dongfeng, Shi, Xiaoyuan, Wang, Shaolei, Zhu, Guangshan
Publikováno v:
In Separation and Purification Technology 19 February 2025 354 Part 7
Autor:
Wu, Zhuangzhuang, Feng, Lijuan, Lu, Zhe, Yu, Xinxin, Zhao, Yuzhen, Luo, Junming, Wang, Shaolei, Tian, Xinlong, Chen, Qi
Publikováno v:
In Nano Materials Science August 2024 6(4):419-427
Autor:
Yin, Junyi1 (AUTHOR), Wang, Shaolei1 (AUTHOR), Chen, Guorui1 (AUTHOR), Xiao, Xiao1 (AUTHOR), Chen, Jun1 (AUTHOR) jun.chen@ucla.edu
Publikováno v:
National Science Review. Sep2024, Vol. 11 Issue 9, p1-3. 3p.
Autor:
Luo, Ya, Ma, Zhao, De Souza, Cristabelle, Wang, Shaolei, Qiao, Fengzhi, Yi, Huaxi, Gong, Pimin, Zhang, Zhe, Liu, Tongjie, Zhang, Lanwei, Lin, Kai
Publikováno v:
In Food Hydrocolloids April 2024 149
Autor:
Luo, Junming, Lu, Zhe, Zhang, Yating, Wu, Daoxiong, Dang, Dai, Yu, Neng, Xu, Yueshan, Feng, Suyang, Wang, Shaolei, Zhang, Zhiyin, Zhao, Yihan, Deng, Peilin, Li, Jing, Miao, Zhengpei, Tian, Xinlong
Publikováno v:
In Materials Today Nano March 2024 25
Autor:
Wen, Hongning, Wang, Shaolei, Jin, Junsong, Wang, Xinyun, Tang, Xuefeng, Zhang, Yiding, Deng, Lei, Gong, Pan, Li, Desong, Ning, Bo, Wei, Qingsong
Publikováno v:
In Journal of Materials Processing Tech. March 2024 324
Autor:
Yin, Junyi, Geng, Qikun, Xiao, Xiao, Wang, Shaolei, Meng, Liyang, Deng, Ningyue, Xu, Jing, Su, Baihai, Chen, Jun, Zhao, Weifeng, Jin, Lunqiang, Zhao, Changsheng
Publikováno v:
In Journal of Hazardous Materials 5 January 2024 461
Most existing approaches to disfluency detection heavily rely on human-annotated corpora, which is expensive to obtain in practice. There have been several proposals to alleviate this issue with, for instance, self-supervised learning techniques, but
Externí odkaz:
http://arxiv.org/abs/2010.15360