Large language models are deep learning models with a large number of parameters. The models made noticeable progress on a large number of tasks, and as a consequence allowing them to serve as valuable and versatile tools for a diverse range of applications. Their capabilities also offer opportunities for business process management, however, these opportunities have not yet been systematically investigated. In this paper, we address this research problem by foregrounding various management tasks of the BPM lifecycle. We investigate six research directions highlighting problems that need to be addressed when using large language models, including usage guidelines for practitioners.

翻译：大语言模型是具有大量参数的深度学习模型。该类模型在众多任务上取得了显著进展，因此成为适用于各类应用场景的高价值多功能工具。其能力也为业务流程管理带来新机遇，然而这些机遇尚未得到系统性的研究。本文通过聚焦BPM生命周期的各类管理任务来探讨这一研究问题，我们提出六个研究方向，重点阐述使用大语言模型时需要解决的若干问题，同时为从业者提供使用指南。