@ the International Conference on
Business Process Management (BPM),
in Krakow, Poland, Sept. 2, 2024
Opening
Efficient LLM-Based Conversational Process Modeling (pdf)
Julius Köpke and Aya Safan
Leveraging Generative Vision Models for Extracting Process Models from Documents (pdf)
Marvin Voelter, Raheleh Hadian, Timotheus Kampik, Marius Breitmayer and Manfred Reichert
Using Large Language Models to Generate Process Knowledge from Enterprise Content (pdf)
Sandro Franzoi, Maxime Delwaulle, Julian Dyong, Jan Schaffner, Mara Burger and Jan Vom Brocke
Enhancement of Low-Level Event Abstraction with Large Language Models (LLMs) (pdf)
Edyta Brzychczy, Krzysztof Kluza and Leszek Szała
ProcessLLM: A Large Language Model Specialized in the Interpretation, Analysis, and Optimization of Business Processes (pdf)
Alina Buss, Wolfgang Kratsch, Sebastian Johannes Schmid and Hongyang Wang
Straight outta Logs: Can LLMs overcome preprocessing in Next Event Prediction? (pdf)
Katharina Brennig, Sascha Kaltenpoth and Oliver Müller
Towards a Benchmark for Causal Business Process Reasoning with LLMs (pdf)
Fabiana Fournier, Lior Limonad and Inna Skarbovsky
Guidelines for writing and reviewing LLM papers for BPM
Participation is open to all who are interested
Closure
The NLP4BPM workshop aims to provide a forum for researchers and practitioners to present, discuss, and evaluate how the use of natural language processing (NLP) and large language models (LLMs) can be used to establish new or improve existing methods, techniques, tools, and process-aware systems that support the different phases of the BPM life-cycle.
In this context, natural language and LLMs can play a variety of roles. Among others, they can be used to describe processes in a comprehensible manner, define the meaning of events and activities, and they can provide support for the conduct of process analyses themselves, e.g., as an interface for process mining or modeling. In addition, it is possible to exploit the process, domain, and programming knowledge of large language models to generate analysis or improvement suggestions.
In the workshop we aim to receive contributions that covers the whole BPM spectrum (foundations, engineering or management aspects of BPM) by welcoming any contribution that considers textual content or meaning for any BPM task or leverages the implicit knowledge of large language models. This includes, but is not limited to:
Application of large language models for BPM tasks.
Generating process models from natural language text
Determining process compliance against regulatory texts
Assessing process model quality and consistency
Semantic process mining
Decision mining based on natural language attributes
Automated process improvement based on large language models.
Process mining based on unstructured, textual information.
Conversational interfaces for BPM
Process model matching and querying
Robotic process automation
Cognitive process automation
Impact of NLP and large language models for BPM in the industry
We are open to receive several types of paper submissions to our workshop:
Regular papers (up to 12 pages), which can relate to the development of specific techniques or approaches (including work-in-progress) and case studies.
Idea and vision papers (5 to 7 pages), which point to exciting new directions in early stages of research, or bold visions of new challenges and opportunities in the application of NLP to BPM
Dataset papers (5 to 7 pages), which aim to share and describe (new) datasets that can be used by other researchers in the context of NLP for BPM.
This year edition will include a plenary discussion in which all participants will be encouraged to jointly talk about a variety of questions and statements on how to further advance the research area. We plan to use several brainstorming techniques for large groups to foster participation and idea generation. Eventually, we might use the insights from this session to establish a manifesto afterwards.
Authors are invited to submit original, unpublished research papers. Papers must be written in English and strictly following the Springer LNBIP style. Indicated page limits apply to the total length of the manuscript, including references.
In addition, where possible, an effort should be made to make the results of the papers reproducible. In case LLMs are used, the prompts used to interact with them should be made available as well as other parameters used in the configuration. When possible, evaluations should include at least one open source LLM so that results can be compared in further research. If that is not possible, the version of the closed LLM and dates when the experiments where performed should be explicitly stated in the manuscript.
Submitted papers will be evaluated according to their rigor, significance, originality, technical quality and exposition, by at least three distinct members of an international program committee. All submissions must be done via EasyChair: https://easychair.org/my/conference?conf=bpm2024
The workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). At least one author of each accepted paper must register and participate in the workshop. Registration is subject to the terms, conditions and procedures of the main BPM’23 conference to be found at its website: https://bpm2024.agh.edu.pl/.
Paper submission: Friday June 7, 2024 Friday June 14, 2024 (extended)
Notification to authors: Friday July 5, 2024 Friday July 12, 2024 (extended)
Camera-ready submission: Friday July 19, 2024
Workshop: Monday September 2, 2024
All deadlines are set to 23:59 Anywhere on Earth (AoE), GMT+12.
Manuel Resinas, University of Seville
Han van der Aa, University of Mannheim
Adela del Río-Ortega, University of Seville
Henrik Leopold, Kühne Logistics University
Lars Ackermann, University of Bayreuth
Patrizio Bellan, Fondazione Bruno Kessler
Josep Carmona, Process Talks
Bedilia Estrada Torres, University of Seville
Mohammadreza Fani Sani, Microsoft
Walid Gaaloul, Télécom SudParis
Chiara Ghidini, Free University of Bozen-Bolzano
Daniela Grigori, University Paris-Dauphine
Christoph Kecht, Technical University of Munich
Wolfgang Kratsch, FIM
Hugo A. López, University of Copenhagen
Fabrizio Maria Maggi, Free University of Bozen-Bolzano
Julian Neuberger, University of Bayreuth
Adrian Rebmann, University of Mannheim
Maxim Vidgof, Vienna University of Economics and Business
Sven Weinzierl, Friedrich-Alexander-Universität Erlangen-Nürnberg
Karolin Winter, Eindhoven University of Technology
NLP4BPM'2023 (Utrecht, The Netherlands): https://sites.google.com/view/nlp4bpm2023
NLP4BPM'2022 (Münster, Germany): https://sites.google.com/view/nlp4bpm2022