5 papers
ZoomTable: Interactive Exploration of Data Facts in Hierarchical Tables via Semantic Zooming
Qiyang Chen, Guozheng Li, Xingqi Wang +3
Hierarchical tables are an important structure for organizing data with inherent hierarchical relationships. Existing studies have extensively explored methods for data fact explor…
DALL: Data Labeling via Data Programming and Active Learning Enhanced by Large Language Models
Guozheng Li, Ao Wang, Shaoxiang Wang +4
Deep learning models for natural language processing rely heavily on high-quality labeled datasets. However, existing labeling approaches often struggle to balance label quality wi…
Visualization Generation with Large Language Models: An Evaluation
Xinyu Wang, Chenwei Liang, Shunyuan Zheng +4
The frequent need for analysts to create visualizations to derive insights from data has driven extensive research into the generation of natural Language to Visualization (NL2VIS)…
InReAcTable: LLM-Powered Interactive Visual Data Story Construction from Tabular Data
Gerile Aodeng, Guozheng Li, Yunshan Feng +3
Insights in tabular data capture valuable patterns that help analysts understand critical information. Organizing related insights into visual data stories is crucial for in-depth…
InsigHTable: Insight-driven Hierarchical Table Visualization with Reinforcement Learning
Guozheng Li, Peng He, Xinyu Wang +5
Embedding visual representations within original hierarchical tables can mitigate additional cognitive load stemming from the division of users' attention. The created hierarchical…