# Large Language Models for Business Process Management: Opportunities and Challenges

**Authors:** Maxim Vidgof, Stefan Bachhofner, Jan Mendling  
**arXiv:** [2304.04309](https://arxiv.org/abs/2304.04309)  
**Date:** 2023-04-09  
**Summary page:** https://www.summarizepaper.com/en/paper/2304.04309v1/

## Key points

- Large language models have shown remarkable progress in various tasks
- They can be used as versatile tools for diverse applications
- Their potential for business process management has not been systematically explored yet
- The paper "Large Language Models for Business Process Management: Opportunities and Challenges" identifies six research directions highlighting challenges associated with using these models in BPM
- The authors provide usage guidelines for practitioners to overcome the associated challenges
- This study sheds light on the opportunities offered by large language models in business process management

## Summary

Large language models, which are deep learning models with a large number of parameters, have shown remarkable progress in various tasks and can be used as versatile tools for diverse applications. Their potential for business process management has not been systematically explored yet. To address this research gap, Maxim Vidgof, Stefan Bachhofner and Jan Mendling wrote a paper titled "Large Language Models for Business Process Management: Opportunities and Challenges". The authors identified six research directions that highlight the challenges associated with using these models in BPM and provided usage guidelines for practitioners. This study sheds light on the opportunities offered by large language models in business process management and provides insights into how to overcome the associated challenges.