Paper summary
Paper summary: Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs
A survey of using LLMs to prepare application-ready data: cleaning, integration and enrichment, moving from rule-based pipelines to prompt-driven and agentic workflows.
- Data preparation is shifting from hand-written rules and task-specific models to prompt-driven, context-aware, agentic workflows.
- Three core tasks: cleaning, integration and enrichment.