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DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI

📝 Summary:
DataFlow is an LLM-driven framework for unified, high-quality data preparation. It automates pipeline generation from natural language, significantly boosting LLM performance across diverse tasks like math, code, and text. DataFlow ensures reproducible data and provides a scalable foundation for AI.

🔹 Publication Date: Published on Dec 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.16676
• PDF: https://arxiv.org/pdf/2512.16676
• Project Page: https://github.com/OpenDCAI/DataFlow
• Github: https://github.com/OpenDCAI/DataFlow

Datasets citing this paper:
https://huggingface.co/datasets/OpenDCAI/dataflow-demo-code
https://huggingface.co/datasets/OpenDCAI/dataflow-demo-Text2SQL
https://huggingface.co/datasets/OpenDCAI/dataflow-instruct-10k

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For more data science resources:
https://xn--r1a.website/DataScienceT

#LLM #DataPreparation #DataCentricAI #WorkflowAutomation #AIResearch
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs

📝 Summary:
This paper surveys how LLMs are transforming data preparation tasks like cleaning, integration, and enrichment. It details the shift from rule-based to prompt-driven approaches, outlining techniques, benefits, and challenges, along with future research directions.

🔹 Publication Date: Published on Jan 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.17058
• PDF: https://arxiv.org/pdf/2601.17058
• Project Page: https://github.com/weAIDB/awesome-data-llm
• Github: https://github.com/weAIDB/awesome-data-llm

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For more data science resources:
https://xn--r1a.website/DataScienceT

#LLMs #DataPreparation #DataCleaning #DataScience #AI