19 citations · 31 across the 9 of their papers we have counts for
10 papers
Towards Reliable Agentic Progressive Text-to-Visualization with Verification Rules
Wenxin Xu, Chen Jason Zhang, Xiaoyong Wei +4
Text-to-Visualization (Text-to-Vis) translates natural language queries into visualization query languages, enabling non-expert users to perform data analysis. However, most existi…
OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models
Zhuoyue Wan, Wentao Hu, Chen Jason Zhang +5
Bridging natural language and structured query languages is a long-standing challenge in the database community. While recent advances in language models have shown promise in this…
MultiTEND: A Multilingual Benchmark for Natural Language to NoSQL Query Translation
Zhiqian Qin, Yuanfeng Song, Jinwei Lu +3
Natural language interfaces for NoSQL databases are increasingly vital in the big data era, enabling users to interact with complex, unstructured data without deep technical expert…
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…
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…