PM4Py.LLM: a Comprehensive Module for Implementing PM on LLMs

arXiv (Cornell University)

Abstract

pm4py is a process mining library for Python implementing several process mining (PM) artifacts and algorithms. It also offers methods to integrate PM with large language models (LLMs). This paper examines how the current paradigms of PM on LLM are implemented in pm4py, identifying challenges such as privacy, hallucinations, and the context window limit.

Authors 1

1. Alessandro Berti corresponding Aachen Process and Data Science Chair

   RWTH Aachen University · Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Fraunhofer FIT , Sankt Augustin , Germany

   Process and Data Science Chair , RWTH Aachen University , Aachen , Germany