3 citations · 9 across the 12 of their papers we have counts for
5 papers · 1 filter
Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL
Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu
Text-to-SQL allows experts to use databases without in-depth knowledge of them. However, real-world tasks have both query and data ambiguities. Most works on Text-to-SQL focused on…
Lightweight Materialization for Fast Dashboards Over Joins
Zezhou Huang, Eugene Wu
Dashboards are vital in modern business intelligence tools, providing non-technical users with an interface to access comprehensive business data. With the rise of cloud technology…
The Fast and the Private: Task-based Dataset Search
Zezhou Huang, Jiaxiang Liu, Haonan Wang +1
Modern dataset search platforms employ ML task-based utility metrics instead of relying on metadata-based keywords to comb through extensive dataset repositories. In this setup, re…
DIG: The Data Interface Grammar
Yiru Chen, Jeffery Tao, Eugene Wu
Building interactive data interfaces is hard because the design of an interface depends on the data processing needs for the underlying analysis task, yet we do not have a good rep…
Kitana: Efficient Data Augmentation Search for AutoML
Zezhou Huang, Pranav Subramaniam, Raul Castro Fernandez +1
AutoML services provide a way for non-expert users to benefit from high-quality ML models without worrying about model design and deployment, in exchange for a charge per hour ($21…