PM-LLM-Benchmark: Evaluating large language models on process mining tasks
Large Language Models (LLMs) have the potential to semi-automate some process mining
(PM) analyses. While commercial models are already adequate for many analytics tasks, the …
(PM) analyses. While commercial models are already adequate for many analytics tasks, the …
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks
The process mining community has recently recognized the potential of large language
models (LLMs) for tackling various process mining tasks. Initial studies report the capability …
models (LLMs) for tackling various process mining tasks. Initial studies report the capability …
NLP4PBM: A Systematic Review on Process Extraction using Natural Language Processing with Rule-based, Machine and Deep Learning Methods
W Van Woensel, S Motie - arXiv preprint arXiv:2409.13738, 2024 - arxiv.org
This literature review studies the field of automated process extraction, ie, transforming
textual descriptions into structured processes using Natural Language Processing (NLP) …
textual descriptions into structured processes using Natural Language Processing (NLP) …
PM4Py. LLM: a Comprehensive Module for Implementing PM on LLMs
A Berti - arXiv preprint arXiv:2404.06035, 2024 - arxiv.org
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 …
artifacts and algorithms. It also offers methods to integrate PM with large language models …
Leveraging Large Language Models for Enhanced Process Model Comprehension
In Business Process Management (BPM), effectively comprehending process models is
crucial yet poses significant challenges, particularly as organizations scale and processes …
crucial yet poses significant challenges, particularly as organizations scale and processes …
Revolutionizing Process Mining: A Novel Architecture for ChatGPT Integration and Enhanced User Experience through Optimized Prompt Engineering
MAMA Kermani, HR Seddighi, M Maghsoudi - arXiv preprint arXiv …, 2024 - arxiv.org
In the rapidly evolving field of business process management, there is a growing need for
analytical tools that can transform complex data into actionable insights. This research …
analytical tools that can transform complex data into actionable insights. This research …
MAO: A Framework for Process Model Generation with Multi-Agent Orchestration
Process models are frequently used in software engineering to describe business
requirements, guide software testing and control system improvement. However, traditional …
requirements, guide software testing and control system improvement. However, traditional …
A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models
Over the past decade, extensive research efforts have been dedicated to the extraction of
information from textual process descriptions. Despite the remarkable progress witnessed in …
information from textual process descriptions. Despite the remarkable progress witnessed in …
Preparing for Super-Reactivity: Early Fault-Detection in the Development of Exceedingly Complex Reactive Systems
We introduce the term Super-Reactive Systems to refer to reactive systems whose
construction and behavior are complex, constantly changing and evolving, and heavily …
construction and behavior are complex, constantly changing and evolving, and heavily …
LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations
C Ziche, G Apruzzese - International Conference on Business Process …, 2024 - Springer
We investigate the potential of using Large Language Models (LLM) to support process
model creation in organizational contexts. Specifically, we carry out a case study wherein we …
model creation in organizational contexts. Specifically, we carry out a case study wherein we …