Retrieval Augmented Generation with LLMs for Explaining Business Process Models

Author:

Minor MirjamORCID,Kaucher Eduard

Publisher

Springer Nature Switzerland

Reference30 articles.

1. Bellan, P., Dragoni, M., Ghidini, C.: Leveraging pre-trained language models for conversational information seeking from text (2022). http://arxiv.org/abs/2204.03542. arXiv:2204.03542

2. Brown, T.B., et al.: Language Models are Few-Shot Learners. arXiv:2005.14165 (2020). arXiv: 2005.14165

3. Davenport, T.H.: Process Innovation: Reengineering Work Through Information Technology. Harvard Business Press, Brighton (1993)

4. Decker, G., Dijkman, R., Dumas, M., García-Bañuelos, L.: The business process modeling notation. In: Hofstede, A.H.M., Aalst, W.M.P., Adams, M., Russell, N. (eds.) Modern Business Process Automation, pp. 347–368. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-03121-2_13

5. Fill, H.G., Fettke, P., Köpke, J.: Conceptual modeling and large language models: impressions from first experiments with ChatGPT. Enterp. Model. Inf. Syst. Architect. (EMISAJ) 18, 1–15 (2023)

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