ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows
Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) • Aug 6, 2026
NobleIDNI2P150W728R315S855
Authors:,,
Wei Liu
Yang Gu
Xi Yan
Abstract
Table processing—including cleaning, transformation, augmentation, and matching—is a foundational yet error-prone stage in real-world data pipelines. While recent LLM-based approaches show promise for automating such tasks, they often struggle in practice due to ambiguous instructions, complex task ...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!