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20222026
most citedLarge Language Models for Education: A Survey

20 citations · 57 across the 14 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CL2023★ 3 cited

Large Language Models in Law: A Survey

Jinqi Lai, Wensheng Gan, Jiayang Wu +2

The advent of artificial intelligence (AI) has significantly impacted the traditional judicial industry. Moreover, recently, with the development of AI-generated content (AIGC), AI…

cs.AI2023★ 15 cited

Large Language Models in Education: Vision and Opportunities

Wensheng Gan, Zhenlian Qi, Jiayang Wu +1

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 d…

cs.HC2023

Interaction in Metaverse: A Survey

Hong Lin, Zirun Gan, Wensheng Gan +3

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 imm…

cs.DB2023★ 3 cited

TALENT: Targeted Mining of Non-overlapping Sequential Patterns

Zefeng Chen, Wensheng Gan, Gengsen Huang +3

With the widespread application of efficient pattern mining algorithms, sequential patterns that allow gap constraints have become a valuable tool to discover knowledge from biolog…

cs.DB2023

Towards Top- Non-Overlapping Sequential Patterns

Zefeng Chen, Wensheng Gan, Gengsen Huang +2

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 tech…

cs.HC2023★ 1 cited

The Human-Centric Metaverse: A Survey

Riyan Yang, Lin Li, Wensheng Gan +2

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 technolo…

cs.DB2023★ 1 cited

Maximal co-occurrence nonoverlapping sequential rule mining

Yan Li, Chang Zhang, Jie Li +4

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…