@inproceedings{89e3342cf86c4a8e9b816e0f741ee42e,
title = "Nala2BPMN: Automating BPMN Model Generation with Large Language Models",
abstract = "Nala2BPMN is a web-based tool that automates the generation of business process models from textual descriptions using large language models (LLMs). It employs a hybrid approach, breaking down tasks into steps to improve accuracy and reduce errors. The tool efficiently handles both simple and complex descriptions, as well as incomplete inputs. A qualitative evaluation by experts found Nala2BPMN to produce accurate and understandable models, highlighting its effectiveness in dealing with diverse process description complexities.",
keywords = "BPM, Generative AI, LLMs, Process modeling",
author = "\{Nour Eldin\}, Ali and Nour Assy and Olan Anesini and Benjamin Dalmas and Walid Gaaloul",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 30th International Conference on Cooperative Information Systems, CoopIS 2024 ; Conference date: 19-11-2024 Through 21-11-2024",
year = "2025",
month = jan,
day = "1",
doi = "10.1007/978-3-031-81375-7\_27",
language = "English",
isbn = "9783031813740",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "398--404",
editor = "Marco Comuzzi and Daniela Grigori and Mohamed Sellami and Zhangbing Zhou",
booktitle = "Cooperative Information Systems - 30th International Conference, CoopIS 2024, Proceedings",
}