Zobrazeno 1 - 10
of 875
pro vyhledávání: '"An, Zhenlian"'
To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed. Improvements in computational power and available resources have significantly advanced LLMs, allowing their integrati
Externí odkaz:
http://arxiv.org/abs/2405.13055
Artificial intelligence (AI) has a profound impact on traditional education. In recent years, large language models (LLMs) have been increasingly used in various applications such as natural language processing, computer vision, speech recognition, a
Externí odkaz:
http://arxiv.org/abs/2405.13001
Autor:
Fu, Zhongxiang, Cao, Buqing, Liu, Shanpeng, Peng, Qian, Peng, Zhenlian, Shi, Min, Liu, Shangli
Publikováno v:
International Journal of Web Information Systems, 2024, Vol. 20, Issue 5, pp. 520-536.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-06-2024-0178
The advent of artificial intelligence (AI) has significantly impacted the traditional judicial industry. Moreover, recently, with the development of AI-generated content (AIGC), AI and law have found applications in various domains, including image r
Externí odkaz:
http://arxiv.org/abs/2312.03718
With the rapid development of artificial intelligence technology, large language models (LLMs) have become a hot research topic. Education plays an important role in human social development and progress. Traditional education faces challenges such a
Externí odkaz:
http://arxiv.org/abs/2311.13160
Human-computer interaction (HCI) emerged with the birth of the computer and has been upgraded through decades of development. Metaverse has attracted a lot of interest with its immersive experience, and HCI is the entrance to the Metaverse for people
Externí odkaz:
http://arxiv.org/abs/2310.13699
With the widespread application of efficient pattern mining algorithms, sequential patterns that allow gap constraints have become a valuable tool to discover knowledge from biological data such as DNA and protein sequences. Among all kinds of gap-co
Externí odkaz:
http://arxiv.org/abs/2306.06470
Sequential pattern mining (SPM) has excellent prospects and application spaces and has been widely used in different fields. The non-overlapping SPM, as one of the data mining techniques, has been used to discover patterns that have requirements for
Externí odkaz:
http://arxiv.org/abs/2304.11947
In the era of the Web of Things, the Metaverse is expected to be the landing site for the next generation of the Internet, resulting in the increased popularity of related technologies and applications in recent years and gradually becoming the focus
Externí odkaz:
http://arxiv.org/abs/2303.11123
The aim of sequential pattern mining (SPM) is to discover potentially useful information from a given se-quence. Although various SPM methods have been investigated, most of these focus on mining all of the patterns. However, users sometimes want to
Externí odkaz:
http://arxiv.org/abs/2301.12630