ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows 事件

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows arXiv:2605.12376v2 Announce Type: replace 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 structures, and the lack of structured feedback, resulting in syntacti