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pro vyhledávání: '"Peng, Guangyue"'
Large Language Models (LLMs) have significantly advanced the field of Natural Language Processing (NLP), achieving remarkable performance across diverse tasks and enabling widespread real-world applications. However, LLMs are prone to hallucination,
Externí odkaz:
http://arxiv.org/abs/2406.07070
Semiparametric language models (LMs) have shown promise in continuously learning from new text data by combining a parameterized neural LM with a growable non-parametric memory for memorizing new content. However, conventional semiparametric LMs will
Externí odkaz:
http://arxiv.org/abs/2303.01421
Autor:
Jing, Chuan, Ding, Ge, Qin, Xiaozhuan, Peng, Guangyue, Huang, Haijun, Wang, Jianchao, Zhang, Shengtao, Li, Hongru, Luo, Ziping, Gao, Fang
Publikováno v:
In Progress in Organic Coatings September 2017 110:150-161
Autor:
Qin, Xiaozhuan, Ding, Ge, Gong, Yulong, Jing, Chuan, Peng, Guangyue, Liu, Shihong, Niu, Lanying, Zhang, Shengtao, Luo, Ziping, Li, Hongru, Gao, Fang
Publikováno v:
In Dyes and Pigments September 2016 132:27-40
Akademický článek
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Autor:
Hu, Nvdan, Gong, Yulong, Wang, Xinchao, Lu, Yao, Peng, Guangyue, Yang, Long, Zhang, Shengtao, Luo, Ziping, Li, Hongru, Gao, Fang
Publikováno v:
Journal of Fluorescence; Nov2015, Vol. 25 Issue 6, p1559-1566, 8p