3 papers
cs.CL2026
Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design
Alexander Rombach, Chantale Lauer, Nijat Mehdiyev
Large language models (LLMs) can generate BPMN process models from natural-language descriptions, yet supervised fine-tuning (SFT) limits their output quality to the patterns prese…
cs.SE2026
Assessing the Business Process Modeling Competences of Large Language Models
Chantale Lauer, Peter Pfeiffer, Alexander Rombach +1
The creation of Business Process Model and Notation (BPMN) models is a complex and time-consuming task requiring both domain knowledge and proficiency in modeling conventions. Rece…
cs.AI2026
Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research Agenda
Alexander Rombach, Chantale Lauer, Nijat Mehdiyev
LLM-based agents are entering regulated industries where they automate judgment intensive quality management processes. We argue that symbolic structures already embedded in these…