Real World Office Workflow
Real-world office workflow research focuses on automating and optimizing complex tasks through AI-powered systems, aiming to improve efficiency and productivity. Current research emphasizes the development of adaptable workflows using large language models (LLMs) and other machine learning techniques, often incorporating prompt engineering and workflow orchestration to handle diverse tasks and data types. This work is significant because it addresses the limitations of traditional, monolithic AI approaches by creating more flexible and robust solutions for various applications, ranging from medical diagnosis to business process management. The resulting improvements in efficiency and accuracy have the potential to significantly impact both scientific research and practical applications across numerous industries.
Papers
An Artificial Intelligence (AI) workflow for catalyst design and optimization
Nung Siong Lai, Yi Shen Tew, Xialin Zhong, Jun Yin, Jiali Li, Binhang Yan, Xiaonan Wang
The Foundations of Computational Management: A Systematic Approach to Task Automation for the Integration of Artificial Intelligence into Existing Workflows
Tamen Jadad-Garcia, Alejandro R. Jadad