3 papers
cs.DB2025
Metadata Management for AI-Augmented Data Workflows
Jinjin Zhao, Sanjay Krishnan
AI-augmented data workflows introduce complex governance challenges, as both human and model-driven processes generate, transform, and consume data artifacts. These workflows blend…
cs.DB2025
TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows
Jinjin Zhao, Sanjay Krishnan
Large Language Models (LLMs) have emerged as powerful tools for automating and executing complex data tasks. However, their integration into more complex data workflows introduces…
cs.DB2025
Fast Capture of Cell-Level Provenance in Numpy
Jinjin Zhao, Sanjay Krishnan
Effective provenance tracking enhances reproducibility, governance, and data quality in array workflows. However, significant challenges arise in capturing this provenance, includi…