Author

Yi-Bo Wang

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#artificial intelligence Preprint Sep 2026

Fail Loudly: An Auditable Runtime for Agentic Data Analysis

Large language models (LLMs) have enabled data-science agents to automate multi-step analyses over heterogeneous files. However, incorrect choices regarding data sources, scope, or statistical definitions often lead to silent errors: computations execute successfully but produce plausible yet incorrect outputs that fai...

Han-Xu Yan, Lang-Xuan Deng, Zheng-Le Wang et al. · 0 citations

TabClean: Scalable Tabular Data Cleaning via Reusable LLM-Synthesized Programs

TabClean is presented, a cost-efficient and training-free tabular data cleaning system in which LLM agents synthesize reusable code for error detection and correction, making LLM usage a largely one-time rather than recurring cost.

Yibo Wang, Riteng Zhang, Bharat Bhargava et al. · 0 citations