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

Machine Learning 2026-01-21 v1 Artificial Intelligence

Abstract

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.

Keywords

Cite

@article{arxiv.2601.12317,
  title  = {Explanova: Automatically Discover Data Insights in N \times M Table via XAI Combined LLM Workflow},
  author = {Yiming Huang},
  journal= {arXiv preprint arXiv:2601.12317},
  year   = {2026}
}