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

2024/04/09 by Alessandro Berti, Berti, Alessandro
Engineering · #Advanced Materials Characterization Techniques #Cyclone Separators and Fluid Dynamics #Databases (cs.DB) #FOS: Computer and information sciences #Materials Engineering and Processing

paper · pdf · doi:10.48550/arxiv.2404.06035

openalex publication_date 2024/04/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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