105 citations · 151 across the 7 of their papers we have counts for
7 papers
Automated Event Log Generation from Unstructured Text Using Finetuned LLMs
Maximilian Seeth, Gabriel Marques Tavares, Daniel Schuster
Process mining (PM) provides a powerful framework for discovering and optimizing operational processes from event data. However, the efficacy of PM techniques is strictly predicate…
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…
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…
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…
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…
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…
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…