{"ID":2893436,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.13413","arxiv_id":"2507.13413","title":"LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data","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","short_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 Aut...","url_abs":"https://arxiv.org/abs/2507.13413","url_pdf":"https://arxiv.org/pdf/2507.13413v1","authors":"[\"Aleksey Lapin\",\"Igor Hromov\",\"Stanislav Chumakov\",\"Mile Mitrovic\",\"Dmitry Simakov\",\"Nikolay O. Nikitin\",\"Andrey V. Savchenko\"]","published":"2025-07-17T09:33:24Z","proceeding":"cs.LG","tasks":"[\"cs.LG\"]","methods":"[\"Large Language Model\"]","has_code":false,"code_links":[{"ID":612053,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2893436,"paper_url":"https://arxiv.org/abs/2507.13413","paper_title":"LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data","repo_url":"https://github.com/sb-ai-lab/LADS","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}