19 citations · 31 across the 9 of their papers we have counts for
6 papers · 1 filter
Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results
Longyu Feng, Huahang Li, Chen Jason Zhang
Schema matching is the process of identifying correspondences between the elements of two given schemata, essential for database management systems, data integration, and data ware…
DataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data Visualization
Zhuoyue Wan, Yuanfeng Song, Shuaimin Li +2
Data visualization (DV) is the fundamental and premise tool to improve the efficiency in conveying the insights behind the big data, which has been widely accepted in existing data…
XPose: eXplainable Human Pose Estimation
Luyu Qiu, Jianing Li, Lei Wen +4
Current approaches in pose estimation primarily concentrate on enhancing model architectures, often overlooking the importance of comprehensively understanding the rationale behind…
BoostER: Leveraging Large Language Models for Enhancing Entity Resolution
Huahang Li, Shuangyin Li, Fei Hao +3
Entity resolution, which involves identifying and merging records that refer to the same real-world entity, is a crucial task in areas like Web data integration. This importance is…
Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization
Shuaimin Li, Xuanang Chen, Yuanfeng Song +2
Data visualization (DV) systems are increasingly recognized for their profound capability to uncover insights from vast datasets, gaining attention across both industry and academi…
On Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach
Huahang Li, Longyu Feng, Shuangyin Li +3
Entity resolution, the task of identifying and merging records that refer to the same real-world entity, is crucial in sectors like e-commerce, healthcare, and law enforcement. Lar…