Zobrazeno 1 - 10
of 1 174
pro vyhledávání: '"Liang Yuanyuan"'
The emergence of Large Language Models (LLMs) has revolutionized many fields, not only traditional natural language processing (NLP) tasks. Recently, research on applying LLMs to the database field has been booming, and as a typical non-relational da
Externí odkaz:
http://arxiv.org/abs/2412.10434
Autor:
LIANG Yuanyuan
Publikováno v:
Renmin Zhujiang, Vol 43 (2022)
In order to understand the variation characteristics of the annual maximum flood flow at the main hydrological stations in Guangdong province and reduce the production,living,and ecological environment problems caused by floods,the annual maximum flo
Externí odkaz:
https://doaj.org/article/0d27cacb973e4c50afe57df09b3e2f62
Publikováno v:
Renmin Zhujiang, Vol 43 (2022)
In the context of global warming and climate change,drought poses a serious threat to agricultural production.The Qinghai-Tibet Plateau is a “sensor” and “sensitive area” of climate change.Researching the agricultural drought risk of the Qing
Externí odkaz:
https://doaj.org/article/3cf89a038d1043028e5a681d6f7c223f
The strong capability of large language models (LLMs) has been applied to information extraction (IE) through either retrieval augmented prompting or instruction tuning (IT). However, the best way to incorporate information with LLMs for IE remains a
Externí odkaz:
http://arxiv.org/abs/2406.17305
Autor:
Liang, Yuanyuan, Tan, Keren, Xie, Tingyu, Tao, Wenbiao, Wang, Siyuan, Lan, Yunshi, Qian, Weining
Graph Databases (Graph DB) find extensive application across diverse domains such as finance, social networks, and medicine. Yet, the translation of Natural Language (NL) into the Graph Query Language (GQL), referred to as NL2GQL, poses significant c
Externí odkaz:
http://arxiv.org/abs/2402.16567
The task of Question Generation over Knowledge Bases (KBQG) aims to convert a logical form into a natural language question. For the sake of expensive cost of large-scale question annotation, the methods of KBQG under low-resource scenarios urgently
Externí odkaz:
http://arxiv.org/abs/2310.08395
Autor:
Liang, Yuanyuan1 (AUTHOR), Wu, Miaomiao1 (AUTHOR), Liu, Anjie1 (AUTHOR) liuanjie@xju.edu.cn, Chen, Qihua1 (AUTHOR), Wu, Yan1 (AUTHOR), Xiang, Qian1 (AUTHOR), Liu, Zhibo1 (AUTHOR), Guo, Jixi1 (AUTHOR), Wang, Xingchao1,2 (AUTHOR) xcwang@xju.edu.cn, Jia, Dianzeng1 (AUTHOR) jdz@xju.edu.cn
Publikováno v:
Advanced Science. Nov2024, Vol. 11 Issue 44, p1-9. 9p.
Autor:
Ming, Yurui, Liang, Yuanyuan
We report the possibility of using a simple neural network for effortless restoration of low-light images inspired by the retina model, which mimics the neurophysiological principles and dynamics of various types of optical neurons. The proposed neur
Externí odkaz:
http://arxiv.org/abs/2210.01806
Autor:
Lu, Zhou, Shi, Mingsong, Zheng, Xueting, Liang, Yuanyuan, Wang, Jiali, Zou, Zhiyan, Luo, Rui, Feng, Maosen, Yang, Xia, Zhou, Yan, Li, Xiaoan
Publikováno v:
In International Journal of Pharmaceutics 25 December 2024 667 Part B
Autor:
Liang, Yuanyuan, Ju, Yanbing, Zeng, Xiao-Jun, Dong, Peiwu, Giannakis, Mihalis, Gao, Hengxia, Zhang, Tianyu
Publikováno v:
In Applied Soft Computing December 2024 167 Part C