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Explanova: Automatically Discover Data Insights in N \times M Table via XAI Combined LLM Workflow

Automation in data analysis has been a long-time pursuit. Current agentic LLM shows a promising solution towards it. Like DeepAnalyze, DataSage, and Datawise. They are all powerful agentic frameworks for automatic fine-grained analysis and are powered by LLM-based agentic tool calling ability. However, what about powered by a preset AutoML-like workflow? If we traverse all possible exploration, like Xn itself`s statistics, Xn1-Xn2 relationships, Xn to all other, and finally explain? Our Explanova is such an attempt: Cheaper due to a Local Small LLM.

preprint2026arXivOpen access
Yiming Huang
Machine LearningArtificial Intelligence
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Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
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Yiming Huang

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