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

• URL: http://arxiv.org/abs/2507.13413v1
• Date: Thu, 17 Jul 2025 09:33:24 GMT
• Title: LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data
• Authors: Aleksey Lapin, Igor Hromov, Stanislav Chumakov, Mile Mitrovic, Dmitry Simakov, Nikolay O. Nikitin, Andrey V. Savchenko,
• Abstract summary: We introduce LightAutoDS-Tab, a multi-AutoML agentic system for tasks with tabular data.<n>Our approach improves the flexibility and robustness of pipeline design, outperforming state-of-the-art open-source solutions.
• Score: 11.314889511528994
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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