4 papers
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…
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…
Similarity-driven and Task-driven Models for Diversity of Opinion in Crowdsourcing Markets
Chen Jason Zhang, Yunrui Liu, Pengcheng Zeng +4
The recent boom in crowdsourcing has opened up a new avenue for utilizing human intelligence in the realm of data analysis. This innovative approach provides a powerful means for c…