Think it, Run it: Autonomous ML pipeline generation via self-healing multi-agent AI
arXiv:2604.27096v1 Announce Type: new Abstract: The purpose of our paper is to develop a unified multi-agent architecture that automates end-to-end machine learning (ML) pipeline generation from datasets and natural-language (NL) goals, improving efficiency, robustness and explainability. A five-agent system is proposed to handle profiling, intent parsing, microservice recommendation, Directed Acyclic Graph (DAG) construction and execution. It integrates code-grounded Retrieval-Augmented Generat
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Computer Science > Artificial Intelligence arXiv:2604.27096 (cs) [Submitted on 29 Apr 2026] Title:Think it, Run it: Autonomous ML pipeline generation via self-healing multi-agent AI Authors:Adela Bara, Gabriela Dobrita, Simona-Vasilica Oprea View a PDF of the paper titled Think it, Run it: Autonomous ML pipeline generation via self-healing multi-agent AI, by Adela Bara and 2 other authors View PDF Abstract:The purpose of our paper is to develop a unified multi-agent architecture that automates end-to-end machine learning (ML) pipeline generation from datasets and natural-language (NL) goals, improving efficiency, robustness and explainability.
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