3 papers
cs.LG2025
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
R. Teal Witter, Yurong Liu, Christopher Musco
With origins in game theory, probabilistic values like Shapley values, Banzhaf values, and semi-values have emerged as a central tool in explainable AI. They are used for feature a…
cs.DB2025
AutoDDG: Automated Dataset Description Generation using Large Language Models
Haoxiang Zhang, Yurong Liu, Aécio Santos +2
The proliferation of datasets across open data portals and enterprise data lakes presents an opportunity for deriving data-driven insights. Widely-used dataset search systems rely…
cs.DB2024
Magneto: Combining Small and Large Language Models for Schema Matching
Yurong Liu, Eduardo Pena, Aecio Santos +2
Recent advances in language models opened new opportunities to address complex schema matching tasks. Schema matching approaches have been proposed that demonstrate the usefulness…