most citedProcess Modeling With Large Language Models

105 citations · 136 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Text

Anton Antonov, Humam Kourani, Alessandro Berti +1

Process modeling is a sub-domain of Business Process Management (BPM) focused on the translation of process artifacts into formal models. This task traditionally requires extensive…

cs.AI2026

PMAx: An Agentic Framework for AI-Driven Process Mining

Anton Antonov, Humam Kourani, Alessandro Berti +2

Process mining provides powerful insights into organizational workflows, but extracting these insights typically requires expertise in specialized query languages and data science…

cs.DB2024

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis

Humam Kourani, Alessandro Berti, Daniel Schuster +1

Large Language Models (LLMs) are rapidly transforming various fields, and their potential in Business Process Management (BPM) is substantial. This paper assesses the capabilities…

cs.DB2024★ 2 cited

Leveraging Large Language Models for Enhanced Process Model Comprehension

Humam Kourani, Alessandro Berti, Jasmin Hennrich +6

In Business Process Management (BPM), effectively comprehending process models is crucial yet poses significant challenges, particularly as organizations scale and processes become…

cs.AI2024★ 1 cited

Re-Thinking Process Mining in the AI-Based Agents Era

Alessandro Berti, Mayssa Maatallah, Urszula Jessen +2

Large Language Models (LLMs) have emerged as powerful conversational interfaces, and their application in process mining (PM) tasks has shown promising results. However, state-of-t…

cs.CL2024★ 1 cited

PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks

Alessandro Berti, Humam Kourani, Wil M. P. van der Aalst

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 compe…

cs.DB2024★ 2 cited

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

Alessandro Berti

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 (L…

cs.SE2024★ 105 cited

Process Modeling With Large Language Models

Humam Kourani, Alessandro Berti, Daniel Schuster +1

In the realm of Business Process Management (BPM), process modeling plays a crucial role in translating complex process dynamics into comprehensible visual representations, facilit…

cs.DB2024★ 25 cited

Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies

Alessandro Berti, Humam Kourani, Hannes Hafke +2

Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming increasingly essential, and initial approaches yield promising results. However, little attention has b…