Zobrazeno 1 - 10
of 2 161
pro vyhledávání: '"Li Yongxiang"'
Autor:
Ma Weifeng, Li Yongxiang
Publikováno v:
Open Mathematics, Vol 21, Iss 1, Pp 77-85 (2023)
In this article, without assuming the compactness of semigroup, we deal with the existence and uniqueness of a mild solution for semilinear impulsive evolution equation with nonlocal condition in a reflexive Banach space by applying the approximate s
Externí odkaz:
https://doaj.org/article/e9c197d76cd049f5ab35b499c96a76b4
Publikováno v:
Open Mathematics, Vol 21, Iss 1, Pp 93-108 (2023)
This article discusses the existence of positive solutions for the system of second-order ordinary differential equation boundary value problems −u″(t)=f(t,u(t),v(t),u′(t)),t∈[0,1],−v″(t)=g(t,u(t),v(t),v′(t)),t∈[0,1],u(0)=u(1)=0,v(0)=
Externí odkaz:
https://doaj.org/article/462740a2603f4d09aa979bf9913ea139
Autor:
Sun Lijuan, Li Fan, Tan Weihao, Zhao Weijie, Li Yongxiang, Zhu Xiaotong, Gao Ping, Shu Gang, Wang Songbo, Jiang Qingyan, Wang Lina
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 51-61 (2023)
Lithocholic acid (LCA) is a classical secondary bile acid formed by the metabolism of gut microbiota. The TGR5 receptor (also known as G protein-coupled receptor 1, GPBAR1) is an important bile acid membrane receptor that mediates a variety of metabo
Externí odkaz:
https://doaj.org/article/4ae79f82b03f40b8b5d95ab3b09d83ba
The locate-then-edit paradigm has shown significant promise for knowledge editing (KE) in Large Language Models (LLMs). While previous methods perform well on single-hop fact recall tasks, they consistently struggle with multi-hop factual recall task
Externí odkaz:
http://arxiv.org/abs/2410.06331
Autor:
Ma, Kaijing, Fang, Han, Zang, Xianghao, Ban, Chao, Zhou, Lanxiang, He, Zhongjiang, Li, Yongxiang, Sun, Hao, Feng, Zerun, Hou, Xingsong
Video Moment Retrieval, which aims to locate in-context video moments according to a natural language query, is an essential task for cross-modal grounding. Existing methods focus on enhancing the cross-modal interactions between all moments and the
Externí odkaz:
http://arxiv.org/abs/2408.07600
Autor:
Li, Xiang, Yao, Yiqun, Jiang, Xin, Fang, Xuezhi, Wang, Chao, Liu, Xinzhang, Wang, Zihan, Zhao, Yu, Wang, Xin, Huang, Yuyao, Song, Shuangyong, Li, Yongxiang, Zhang, Zheng, Zhao, Bo, Sun, Aixin, Wang, Yequan, He, Zhongjiang, Wang, Zhongyuan, Li, Xuelong, Huang, Tiejun
Large Language Models (LLMs) represent a significant stride toward Artificial General Intelligence. As scaling laws underscore the potential of increasing model sizes, the academic community has intensified its investigations into LLMs with capacitie
Externí odkaz:
http://arxiv.org/abs/2407.02783
Autor:
Ding Yonghong, Li Yongxiang
Publikováno v:
Open Mathematics, Vol 18, Iss 1, Pp 616-631 (2020)
This article deals with the exact controllability for a class of fractional stochastic evolution equations with nonlocal initial conditions in a Hilbert space under the assumption that the semigroup generated by the linear part is noncompact. Our mai
Externí odkaz:
https://doaj.org/article/6edfcb764e9e4644b6c19dcc1759ac2c
Autor:
Li, Xiang, Yao, Yiqun, Jiang, Xin, Fang, Xuezhi, Wang, Chao, Liu, Xinzhang, Wang, Zihan, Zhao, Yu, Wang, Xin, Huang, Yuyao, Song, Shuangyong, Li, Yongxiang, Zhang, Zheng, Zhao, Bo, Sun, Aixin, Wang, Yequan, He, Zhongjiang, Wang, Zhongyuan, Li, Xuelong, Huang, Tiejun
Large language models (LLMs) have showcased profound capabilities in language understanding and generation, facilitating a wide array of applications. However, there is a notable paucity of detailed, open-sourced methodologies on efficiently scaling
Externí odkaz:
http://arxiv.org/abs/2404.16645
Autor:
Fang, Han, Zang, Xianghao, Ban, Chao, Feng, Zerun, Zhou, Lanxiang, He, Zhongjiang, Li, Yongxiang, Sun, Hao
Text-video retrieval aims to find the most relevant cross-modal samples for a given query. Recent methods focus on modeling the whole spatial-temporal relations. However, since video clips contain more diverse content than captions, the model alignin
Externí odkaz:
http://arxiv.org/abs/2404.12216