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

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 LLM-based code generation with several AutoML tools. Our approach enhances the flexibility and robustness of pipeline design, outperforming state-of-the-art open-source solutions on several Kaggle data science tasks. The source code of LightAutoDS-Tab: https://github.com/sb-ai-lab/LADS.