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arXiv · 2507.13413

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data

Aleksey Lapin·Igor Hromov·Stanislav Chumakov·Mile Mitrovic·Dmitry Simakov·Nikolay O. Nikitin·Andrey V. Savchenko
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Abstract

AutoML has advanced in handling complex tasks using the integration of LLMs, yet its efficiency remains limited by dependence on specific underlying tools. In this paper, we introduce LightAutoDS-Tab, a multi-AutoML agentic system for tasks with tabular data, which combines an LLM-based code generation with several AutoML tools. Our approach improves the flexibility and robustness of pipeline design, outperforming state-of-the-art open-source solutions on several data science tasks from Kaggle. The code of LightAutoDS-Tab is available in the open repository https://github.com/sb-ai-lab/LADS

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Aleksey Lapin, Igor Hromov, Stanislav Chumakov, Mile Mitrovic, Dmitry Simakov, Nikolay O. Nikitin, Andrey V. Savchenko. 2025-07-17. LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data. https://arxiv.org/abs/2507.13413

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