Multi-stage LLM pipeline creates validated BPMN models from text and reconstructs them with average similarity above 0.75 across 387 cases from 750 public diagrams.
Leveraging machine learning and enhanced parallelism detection for bpmn model generation from text.arXiv preprint arXiv:2507.08362, July 2025
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LLM-based pipeline converts medical guidelines into executable BPMN models with over 92% per-patient decision agreement and an entropy detector for policy ambiguity.
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Automated BPMN Model Generation from Textual Process Descriptions: A Multi-Stage LLM-Driven Approach
Multi-stage LLM pipeline creates validated BPMN models from text and reconstructs them with average similarity above 0.75 across 387 cases from 750 public diagrams.
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Automatic Generation of Executable BPMN Models from Medical Guidelines
LLM-based pipeline converts medical guidelines into executable BPMN models with over 92% per-patient decision agreement and an entropy detector for policy ambiguity.