49 citations · 51 across the 12 of their papers we have counts for
4 papers · 1 filter
Bridging Imperative Process Models and Process Data Queries-Translation and Relaxation
Abdur Rehman Anwar Qureshi, Adrian Rebmann, Timotheus Kampik +2
Business process management is increasingly practiced using data-driven approaches. Still, classical imperative process models, which are typically formalized using Petri nets, are…
LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining
Vira Pyrih, Adrian Rebmann, Han van der Aa
Process mining is increasingly using textual information associated with events to tackle tasks such as anomaly detection and process discovery. Such semantics-aware process mining…
Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation
Michael Grohs, Adrian Rebmann, Jana-Rebecca Rehse
Conformance checking techniques detect undesired process behavior by comparing process executions that are recorded in event logs to desired behavior that is captured in a dedicate…
On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks
Adrian Rebmann, Fabian David Schmidt, Goran Glavaš +1
Large language models (LLMs) have shown to be valuable tools for tackling process mining tasks. Existing studies report on their capability to support various data-driven process a…