4 citations · 8 across the 6 of their papers we have counts for
Showing 2024 · cs.DBShow all
2 papers · 2 filters
cs.DB2024
Humboldt: Metadata-Driven Extensible Data Discovery
Alex Bäuerle, Çağatay Demiralp, Michael Stonebraker
Data discovery is crucial for data management and analysis and can benefit from better utilization of metadata. For example, users may want to search data using queries like ``find…
cs.DB2024
Making LLMs Work for Enterprise Data Tasks
Çağatay Demiralp, Fabian Wenz, Peter Baile Chen +3
Large language models (LLMs) know little about enterprise database tables in the private data ecosystem, which substantially differ from web text in structure and content. As LLMs'…