Zobrazeno 1 - 10
of 13 145
pro vyhledávání: '"Wu, Yuan"'
Autor:
Hsu, Sara1 (AUTHOR) shsu6@utk.edu, Fan, Zhihao2 (AUTHOR)
Publikováno v:
Chinese Economy. May/Jun2024, Vol. 57 Issue 3, p193-206. 14p.
Autor:
Deviatnikovaitė, Ieva1 ieva@mruni.eu
Publikováno v:
Jurisprudence / Jurisprudencija. Dec2023, Vol. 30 Issue 2, p262-284. 23p.
Autor:
Callais, Justin T.1 (AUTHOR) justin.callais@ttu.edu, Peng, Linan2 (AUTHOR)
Publikováno v:
Journal of the Asia Pacific Economy. May2024, Vol. 29 Issue 2, p929-948. 20p.
Autor:
Dong, Kaikai1,2 (AUTHOR), Chen, Ziqi1 (AUTHOR), Li, Ying1 (AUTHOR), Hou, Guanglei1 (AUTHOR), Liu, Zhaoli1 (AUTHOR) liuzhaoli@iga.ac.cn
Publikováno v:
Diversity (14242818). Oct2023, Vol. 15 Issue 10, p1043. 12p.
Autor:
Tian Guang1
Publikováno v:
International Journal of Business Anthropology. 2023, Vol. 13 Issue 2, p79-85. 7p.
Autor:
AHMEDI, Blerta1 blerta.arifi@seeu.edu.mk
Publikováno v:
Vizione. 2023, Issue 41, p43-56. 14p.
Adversarial training has been instrumental in advancing multi-domain text classification (MDTC). Traditionally, MDTC methods employ a shared-private paradigm, with a shared feature extractor for domain-invariant knowledge and individual private featu
Externí odkaz:
http://arxiv.org/abs/2406.00044
In this paper, we initiate our discussion by demonstrating how Large Language Models (LLMs), when tasked with responding to queries, display a more even probability distribution in their answers if they are more adept, as opposed to their less skille
Externí odkaz:
http://arxiv.org/abs/2405.10516
Autor:
Hu, Juntao, Wu, Yuan
We propose a novel data augmentation method termed You Only Need hAlf (YONA), which simplifies the augmentation process. YONA bisects an image, substitutes one half with noise, and applies data augmentation techniques to the remaining half. This meth
Externí odkaz:
http://arxiv.org/abs/2405.02830