3 citations · 8 across the 17 of their papers we have counts for
7 papers · 1 filter
SODIUM: From Open Web Data to Queryable Databases
Chuxuan Hu, Philip Li, Maxwell Yang +1
During research, domain experts often ask analytical questions whose answers require integrating data from a wide range of web sources. Thus, they must spend substantial effort sea…
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees
Yuxuan Zhu, Tengjun Jin, Chenghao Mo +1
Analytical join queries over unstructured data are increasingly prevalent in data analytics. Applying machine learning (ML) models to label every pair in the cross product of table…
Human-Level Text-to-SQL via Reinforcement Learning on Verified Data, Without Pipeline Engineering
Yuxuan Zhu, Tengjun Jin, Yoojin Choi +1
Translating natural language questions to SQL queries (Text-to-SQL) is a long-standing problem in database research. Recent efforts have focused on improving accuracy by building i…
Analytical Queries for Unstructured Data
Daniel Kang
Unstructured data, in the form of text, images, video, and audio, is produced at exponentially higher rates. In tandem, machine learning (ML) methods have become increasingly power…
PandasBench: A Benchmark for the Pandas API
Alex Broihier, Stefanos Baziotis, Daniel Kang +1
The Pandas API has been central to the success of pandas and its alternatives. Despite its importance, there is no benchmark for it, and we argue that we cannot repurpose existing…
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
Tengjun Jin, Yuxuan Zhu, Daniel Kang
Practitioners are increasingly turning to Extract-Load-Transform (ELT) pipelines with the widespread adoption of cloud data warehouses. However, designing these pipelines often inv…
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees (Technical Report)
Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis +3
After decades of research in approximate query processing (AQP), its adoption in the industry remains limited. Existing methods struggle to simultaneously provide user-specified er…