Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
Authors 5
-
Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer FIT, Sankt Augustin, Germany
Process and Data Science Chair, RWTH Aachen University, Aachen, Germany
-
Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer FIT, Sankt Augustin, Germany
Process and Data Science Chair, RWTH Aachen University, Aachen, Germany
-
Fraunhofer Institute for Applied Information Technology
Affiliation as printed
Fraunhofer FIT, Sankt Augustin, Germany
-
Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer FIT, Sankt Augustin, Germany
Process and Data Science Chair, RWTH Aachen University, Aachen, Germany
-
Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer FIT, Sankt Augustin, Germany
Process and Data Science Chair, RWTH Aachen University, Aachen, Germany
Cited by 26 stored of 26
No patents citing this paper on Lens.org (checked 2026-10-06).