Zobrazeno 1 - 10
of 1 754
pro vyhledávání: '"Li, Sijia"'
Publikováno v:
Comptes Rendus. Mécanique, Vol 348, Iss 12, Pp 1003-1030 (2021)
This paper presents an efficient hybrid asynchronous three-dimensional (3D) perfectly matched layer (PML) for modeling unbounded domains. The proposed unsplit explicit or implicit 3D PML formulation is implemented in the framework of a heterogeneous
Externí odkaz:
https://doaj.org/article/54ebd43cb9b243cb8f5e9bd2b0297ee1
Autor:
Ren, Qingyang, Jiang, Zilin, Cao, Jinghan, Li, Sijia, Li, Chiqu, Liu, Yiyang, Huo, Shuning, He, Tiange, Chen, Yuan
This survey explores the fairness of large language models (LLMs) in e-commerce, examining their progress, applications, and the challenges they face. LLMs have become pivotal in the e-commerce domain, offering innovative solutions and enhancing cust
Externí odkaz:
http://arxiv.org/abs/2405.13025
Publikováno v:
Physical Review D, 110, 023512, 2024
Large scale structures provide valuable information of the primordial perturbations that encode the secrets of the origin of the Universe. It is an essential step to map between observables and their initial coordinates, called Lagrangian space, from
Externí odkaz:
http://arxiv.org/abs/2405.04784
In the era of AIGC, the demand for low-budget or even on-device applications of diffusion models emerged. In terms of compressing the Stable Diffusion models (SDMs), several approaches have been proposed, and most of them leveraged the handcrafted la
Externí odkaz:
http://arxiv.org/abs/2404.11098
Scene-Text Visual Question Answering (ST-VQA) aims to understand scene text in images and answer questions related to the text content. Most existing methods heavily rely on the accuracy of Optical Character Recognition (OCR) systems, and aggressive
Externí odkaz:
http://arxiv.org/abs/2403.09288
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 12, p e24775 (2020)
BackgroundDuring the COVID-19 pandemic, residential lockdowns were implemented in numerous cities in China to contain the rapid spread of the disease. Although these stringent regulations effectively slowed the spread of COVID-19, they may have posed
Externí odkaz:
https://doaj.org/article/b156ec2868b4437a9f75deedf439583e
Autor:
Cui, Tianyu, Wang, Yanling, Fu, Chuanpu, Xiao, Yong, Li, Sijia, Deng, Xinhao, Liu, Yunpeng, Zhang, Qinglin, Qiu, Ziyi, Li, Peiyang, Tan, Zhixing, Xiong, Junwu, Kong, Xinyu, Wen, Zujie, Xu, Ke, Li, Qi
Large language models (LLMs) have strong capabilities in solving diverse natural language processing tasks. However, the safety and security issues of LLM systems have become the major obstacle to their widespread application. Many studies have exten
Externí odkaz:
http://arxiv.org/abs/2401.05778
Recent work found high mutual information between the learned representations of large language models (LLMs) and the geospatial property of its input, hinting an emergent internal model of space. However, whether this internal space model has any ca
Externí odkaz:
http://arxiv.org/abs/2312.16257
Autor:
Cong, Yulai, Li, Sijia
Mixture models serve as one fundamental tool with versatile applications. However, their training techniques, like the popular Expectation Maximization (EM) algorithm, are notoriously sensitive to parameter initialization and often suffer from bad lo
Externí odkaz:
http://arxiv.org/abs/2312.11926
The spatial-temporal distribution of underwater sound velocity affects the propagation mode of underwater acoustic signals. Therefore, rapid estimation and prediction of underwater sound velocity distribution is crucial for providing underwater posit
Externí odkaz:
http://arxiv.org/abs/2311.09537