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pro vyhledávání: '"Xuan, Keyang"'
Autor:
Bai, Weiheng, Xuan, Keyang, Huang, Pengxiang, Wu, Qiushi, Wen, Jianing, Wu, Jingjing, Lu, Kangjie
With the rapid development of large language models (LLMs), their applications have expanded into diverse fields, such as code assistance. However, the substantial size of LLMs makes their training highly resource- and time-intensive, rendering frequ
Externí odkaz:
http://arxiv.org/abs/2409.16526
The rise of multimodal misinformation on social platforms poses significant challenges for individuals and societies. Its increased credibility and broader impact compared to textual misinformation make detection complex, requiring robust reasoning a
Externí odkaz:
http://arxiv.org/abs/2402.11943
Autor:
Ravirathinam, Praveen, Ghosh, Rahul, Wang, Ke, Xuan, Keyang, Khandelwal, Ankush, Dugan, Hilary, Hanson, Paul, Kumar, Vipin
Creating separable representations via representation learning and clustering is critical in analyzing large unstructured datasets with only a few labels. Separable representations can lead to supervised models with better classification capabilities
Externí odkaz:
http://arxiv.org/abs/2210.07522
Autor:
Liu, Jing, Xuan, Keyang, Xie, Nimin, Zhang, Jianyun, Wang, Xiaojun, Yu, Zhongbo, Wang, Weiguang
Publikováno v:
In Journal of Hydrology June 2022 609