@inproceedings{kim-etal-2025-bel,
    title = "Bel Esprit: Multi-Agent Framework for Building {AI} Model Pipelines",
    author = "Kim, Yunsu  and
      Abdelaziz, Ahmedelmogtaba  and
      Castro Ferreira, Thiago  and
      Al-Badrashiny, Mohamed  and
      Sawaf, Hassan",
    editor = "Mishra, Pushkar  and
      Muresan, Smaranda  and
      Yu, Tao",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingestion-acl-25/2025.acl-demo.32/",
    pages = "329--339",
    ISBN = "979-8-89176-253-4",
    abstract = "As the demand for artificial intelligence (AI) grows to address complex real-world tasks, single models are often insufficient, requiring the integration of multiple models into pipelines. This paper introduces Bel Esprit, a conversational agent designed to construct AI model pipelines based on user requirements. Bel Esprit uses a multi-agent framework where subagents collaborate to clarify requirements, build, validate, and populate pipelines with appropriate models. We demonstrate its effectiveness in generating pipelines from ambiguous user queries, using both human-curated and synthetic data. A detailed error analysis highlights ongoing challenges in pipeline building.Bel Esprit is available for a free trial at https://belesprit.aixplain.com."
}