activity
20242026
most citedProcess Modeling With Large Language Models

105 citations · 151 across the 7 of their papers we have counts for

collaborators
Showing cs.DBShow all

5 papers · 1 filter

cs.DB2025

Computing Alignments for Partially-ordered Traces Through Petri Net Unfoldings

Ariba Siddiqui, Wil M. P. van der Aalst, Daniel Schuster

Conformance checking techniques aim to provide diagnostics on the conformity between process models and event data. Conventional methods, such as trace alignments, assume strict to…

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.DB2024★ 19 cited

ProMoAI: Process Modeling with Generative AI

Humam Kourani, Alessandro Berti, Daniel Schuster +1

ProMoAI is a novel tool that leverages Large Language Models (LLMs) to automatically generate process models from textual descriptions, incorporating advanced prompt engineering, e…

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…