Prompt engineering or fine-tuning? a case study on phishing detection with large language models

F Trad, A Chehab - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
Large Language Models (LLMs) are reshaping the landscape of Machine Learning (ML)
application development. The emergence of versatile LLMs capable of undertaking a wide …

Design of a Quality Management System based on the EU Artificial Intelligence Act

H Mustroph, S Rinderle-Ma - arXiv preprint arXiv:2408.04689, 2024 - arxiv.org
The EU AI Act mandates that providers and deployers of high-risk AI systems establish a
quality management system (QMS). Among other criteria, a QMS shall help verify and …

Unlocking Sustainability Compliance: Characterizing the EU Taxonomy for Business Process Management

F Klessascheck, SA Fahrenkrog-Petersen… - arXiv preprint arXiv …, 2024 - arxiv.org
To promote sustainable business practices, and to achieve climate neutrality by 2050, the
EU has developed the taxonomy of sustainable activities, which describes when exactly …

Gaining insights into data sharing process among multiple stakeholders through process mining and social network analysis

L Wu, Y Wang - 2024 - aisel.aisnet.org
As the data sharing process spans multiple stakeholders, its complexity increases
significantly, making it increasingly difficult to track and understand the source, circulation …

[PDF][PDF] Extracting Process Information from Natural

L Brach - researchgate.net
In the rapidly evolving business environment, the overwhelming volume and variety of
textual data sources pose significant challenges and opportunities for organizations. This …

[PDF][PDF] Spotting the Weasel at Work: Mining Inappropriate Behavior Patterns in Event Logs‹

S Bala1r0000, T Jacobowitz, J Mendling - conferences.big.tuwien.ac.at
Diverging interests in the workplace may lead to undesirable employee behavior such as
taking undue credit, underperforming, shirking responsibilities, and undermining colleagues …