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Conversing with business process-aware large language models: the BPLLM framework
8 references·1 citing·43 second hop
Conversing with business process-aware large language models: the BPLLM framework (2024)Conversing with business process-aware la…Large Language Models Can Accomplish Business Process Management Tasks (2024)Large Language Models Can Acc…Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study (2024)Abstractions, Scenarios, and …ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)ChatGPT: A comprehensive revi…AI-augmented Business Process Management Systems: A Research Manifesto (2023)AI-augmented Business Process…A practitioner’s guide to process mining: Limitations of the directly-follows graph (2019)A practitioner’s guide to pro…A recommendation system for predicting risks across multiple business process instances (2014)A recommendation system for p…Fundamentals of Business Process Management (2013)Fundamentals of Business Proc…Supporting Flexible Processes through Recommendations Based on History (2008)Supporting Flexible Processes…Automatically Generating BPMN 2.0 Process Models from Natural Language Process Descriptions: Challenges, Framework, Quality Assessment (2026)Automatically Generating BPMN…Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control (1998)Workflow mining: A survey of issues and approaches (2003)The ProM Framework: A New Era in Process Mining Tool Support (2005)Beyond rigidity – dynamic process lifecycle support (2009)Beyond Process Mining: From the Past to Present and Future (2010)Process‐Aware Information Systems (2005)Process-aware information systems: bridging people and software through process technology (2006)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Predictive Business Process Monitoring with Structured and Unstructured Data (2016)Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)How is process mining technology used by organizations? A systematic literature review of empirical studies (2018)Letters to the editor: go to statement considered harmful (1968)Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data (2019)Adoption, use and management of process mining in practice (2020)Theorizing Process Dynamics with Directed Graphs: A Diachronic Analysis of Digital Trace Data (2021)Utilizing domain knowledge in data-driven process discovery: A literature review (2022)An Integrative Model Of Organizational Trust (1995)DECLARE: Full Support for Loosely-Structured Processes (2007)Continuous intention usage of artificial intelligence enabled digital banks: a review of expectation confirmation model (2024)Large Process Models: A Vision for Business Process Management in the Age of Generative AI (2024)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence? (2023)How does generative artificial intelligence impact student creativity? (2023)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT (2024)Process Model Generation from Natural Language Text (2011)Conformance checking based on multi-perspective declarative process models (2016)Large Language Models for Business Process Management: Opportunities and Challenges (2023)Efficient LLM-Based Conversational Process Modeling (2025)Evaluating large language models on business process modeling: framework, benchmark, and self-improvement analysis (2025)PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks (2025)Bridging abstraction layers in process mining (2014)Reducing false positives in fraud detection: Combining the red flag approach with process mining (2018)From process mining to augmented process execution (2023)PM4Py: A process mining library for Python (2023)ProMoAI: Process Modeling with Generative AI (2024)Cognitive load theory, learning difficulty, and instructional design (1994)Cognitive Load Theory and Instructional Design: Recent Developments (2003)A meta-analysis of the technology acceptance model (2006)Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches (2014)The Six Core Elements of Business Process Management (2014)A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)
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References

  • 2023ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope2,455 cited
  • 2013Fundamentals of Business Process Management1,344 cited
  • 2008Supporting Flexible Processes through Recommendations Based on History192 cited
  • 2023AI-augmented Business Process Management Systems: A Research Manifesto155 cited
  • 2019A practitioner’s guide to process mining: Limitations of the directly-follows graph148 cited
  • 2014A recommendation system for predicting risks across multiple business process instances136 cited
  • 2024Large Language Models Can Accomplish Business Process Management Tasks118 cited
  • 2024Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study60 cited

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  • 2026Automatically Generating BPMN 2.0 Process Models from Natural Language Process Descriptions: Challenges, Framework, Quality Assessment17 cited

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