From the 1 of 17 linked papers with an AI index.
3 citations · 3 across the 7 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…