Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Cui, Chenhao"'
Multi-choice Machine Reading Comprehension (MMRC) aims to select the correct answer from a set of options based on a given passage and question. The existing methods employ the pre-trained language model as the encoder, share and transfer knowledge t
Externí odkaz:
http://arxiv.org/abs/2404.17949
Dialogue summarization aims to condense a given dialogue into a simple and focused summary text. Typically, both the roles' viewpoints and conversational topics change in the dialogue stream. Thus how to effectively handle the shifting topics and sel
Externí odkaz:
http://arxiv.org/abs/2301.12376
Autor:
Wang, Guangyuan1 (AUTHOR), Cui, Chenhao1 (AUTHOR), Wang, Yuqian1 (AUTHOR), Pang, Jiwei2 (AUTHOR), Yang, Shanshan1 (AUTHOR) shanshanyang@hit.edu.cn, Wu, Chuandong3,4 (AUTHOR), Fang, Rui3,4 (AUTHOR), Zhang, Luyan5 (AUTHOR), Ren, Nanqi1 (AUTHOR), Ding, Jie1 (AUTHOR) dingjie123@hit.edu.cn
Publikováno v:
Biochar. 10/30/2024, Vol. 6 Issue 1, p1-17. 17p.
Most current multi-modal summarization methods follow a cascaded manner, where an off-the-shelf object detector is first used to extract visual features, then these features are fused with language representations to generate the summary with an enco
Externí odkaz:
http://arxiv.org/abs/2208.11303
Autor:
Cui, Chenhao
Chemometrics has been applied to analyse near-infrared (NIR) spectra for decades. Linear regression methods such as partial least squares (PLS) regression and principal component regression (PCR) are simple and widely used solutions for spectroscopic
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763226
Publikováno v:
In Journal of Food Engineering December 2023 359
Publikováno v:
In Expert Systems With Applications 1 December 2023 232
Autor:
Gao, Min, Li, Zheng, Li, Ruichen, Cui, Chenhao, Chen, Xinyuan, Ye, Bodian, Li, Yupeng, Gu, Weiwei, Gong, Qingyuan, Wang, Xin, Chen, Yang
Publikováno v:
In Patterns 13 October 2023 4(10)
Akademický článek
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Publikováno v:
Neural Computing & Applications; Sep2024, Vol. 36 Issue 25, p15653-15666, 14p