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In the realm of Business Process Management (BPM), process modeling plays a crucial role in translating complex process dynamics into comprehensible visual representations, facilitating the understanding, analysis, improvement, and automation of organizational processes.
Let me tell you a story - on how to build process models
João Carlos de A. R. Gonçalves, Flávia Maria Santoro, and Fernanda Araújo Baião · 2011
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Process model generation from natural language text
Fabian Friedrich, Jan Mendling, and Frank Puhlmann · 2011
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Process Mining - Discovery, Conformance and Enhancement of Business Processes
Wil M. P. van der Aalst · 2011
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Business process modeling using Petri nets
Kees M. van Hee, Natalia Sidorova, and Jan Martijn E. M. van der Werf · 2013
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Business process model and notation - BPMN
Mark von Rosing, Stephen White, Fred Cummins, and Henk de Man · 2015
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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A qualitative analysis of the state of the art in process extraction from text
Patrizio Bellan, Mauro Dragoni, and Chiara Ghidini · 2020
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Language models are few-shot learners
Tom B. Brown et al · 2020
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From text to visual BPMN process models: design and evaluation
Ana Ivanchikj, Souhaila Serbout, and Cesare Pautasso · 2020
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Pretrained language model for text generation: A survey
Junyi Li, Tianyi Tang, Wayne Xin Zhao, and Ji-Rong Wen · 2021
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PET: an annotated dataset for process extraction from natural language text tasks
Patrizio Bellan, Han van der Aa, Mauro Dragoni, Chiara Ghidini, and Simone Paolo Ponzetto · 2022
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Bert-log: Anomaly detection for system logs based on pre-trained language model
Song Chen and Hai Liao · 2022
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Robust Process Mining with Guarantees - Process Discovery, Conformance Checking and Enhancement
Sander J. J. Leemans · 2022
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Generating BPMN diagram from textual requirements
Sholiq Sholiq, Riyanarto Sarno, and Endang Siti Astuti · 2022
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Abstractions, scenarios, and prompt definitions for process mining with LLMs: A case study
Alessandro Berti, Daniel Schuster, and Wil M. P. van der Aalst · 2023
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Just tell me: Prompt engineering in business process management
Scalable discovery of partially ordered workflow models with formal guarantees
Humam Kourani, Daniel Schuster, and Wil M. P. van der Aalst · 2023
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POWL: partially ordered workflow language
Humam Kourani and Sebastiaan J. van Zelst · 2023
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Knowledge injection to counter large language model (LLM) hallucination
Ariana Martino, Michael Iannelli, and Coleen Truong · 2023
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Negative-prompt inversion: Fast image inversion for editing with text-guided diffusion models
Daiki Miyake, Akihiro Iohara, Yu Saito, and Toshiyuki Tanaka · 2023
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OpenAI · 2023
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Kiran Busch, Alexander Rochlitzer, Diana Sola, and Henrik Leopold · 2023
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Gemini: A family of highly capable multimodal models
Rohan Anil et al · 2023
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Conceptual modeling and large language models: Impressions from first experiments with ChatGPT
Hans-Georg Fill, Peter Fettke, and Julius Köpke · 2023
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Large language models can accomplish business process management tasks
Michael Grohs, Luka Abb, Nourhan Elsayed, and Jana-Rebecca Rehse · 2023
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Conversational process modelling: State of the art, applications, and implications in practice
Nataliia Klievtsova, Janik-Vasily Benzin, Timotheus Kampik, Juergen Mangler, and Stefanie Rinderle-Ma · 2023
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A composable just-in-time programming framework with LLMs and FBP
Andy Vidan and Lars H. Fiedler · 2023
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Large language models for business process management: Opportunities and challenges
Maxim Vidgof, Stefan Bachhofner, and Jan Mendling · 2023
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Expertprompting: Instructing large language models to be distinguished experts
Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, and Zhendong Mao · 2023
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Large language models are human-level prompt engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, and Jimmy Ba · 2023
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Limitations of chatgpt in conceptual modeling: Insights from experiments in metamodeling, 2024
Fabian Muff and Hans-Georg Fill · 2024
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