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.
Process ex- traction from text: Benchmarking the state of the art and paving the way for future challenges
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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.