论文标题
特定于业务流程的基础模型的案例
A Case for Business Process-Specific Foundation Models
论文作者
论文摘要
大型语言模型的成立有助于在众多自然语言任务上提高最先进的表现。这也为开发其他域和数据模式（例如图像，代码和音乐）开发基础模型打开了大门。在本文中，我们认为业务流程数据表示具有独特的特征，可以开发新的基础模型来处理过程挖掘，优化和决策等任务。这些模型还应应对将AI应用于业务流程的独特挑战，包括数据稀缺，多模式表示，域特定术语和隐私问题。
The inception of large language models has helped advance state-of-the-art performance on numerous natural language tasks. This has also opened the door for the development of foundation models for other domains and data modalities such as images, code, and music. In this paper, we argue that business process data representations have unique characteristics that warrant the development of a new class of foundation models to handle tasks like process mining, optimization, and decision making. These models should also tackle the unique challenges of applying AI to business processes which include data scarcity, multi-modal representations, domain specific terminology, and privacy concerns.
