| 2026 | CaiSE | Enabling Small Language Models for Text-to-Process Extraction: Balancing Accuracy and Efficiency Through Distant Supervision. | Julian Neuberger, Han van der Aa, Ivan Khrop, Hugo A. Lpez |
| 2025 | BPM | A Human-in-the-Loop Approach for Improving Fairness in Predictive Business Process Monitoring. | Martin Kppel, Julian Neuberger, Felix Mhrlein, Sven Weinzierl, Martin Matzner, Stefan Jablonski |
| 2025 | BPM | FairLoop: Software Support for Human‑Centric Fairness in Predictive Business Process Monitoring. | Felix Mhrlein, Martin Kppel, Julian Neuberger, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski |
| 2024 | CoopIS | Assisted Data Annotation for Business Process Information Extraction from Textual Documents. | Julian Neuberger, Han van der Aa, Lars Ackermann, Daniel Buschek, Jannic Herrmann, Stefan Jablonski |
| 2024 | CoopIS | TeaPie: A Tool for Efficient Annotation of Process Information Extraction Data. | Julian Neuberger, Jannic Herrmann, Martin Kppel, Han van der Aa, Stefan Jablonski |
| 2024 | ER | A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text Using Large Language Models. | Julian Neuberger, Lars Ackermann, Han van der Aa, Stefan Jablonski |
| 2023 | CaiSE | Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques. | Lars Ackermann, Julian Neuberger, Martin Kppel, Stefan Jablonski |
| 2023 | CoopIS | Beyond Rule-Based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text. | Julian Neuberger, Lars Ackermann, Stefan Jablonski |
| 2021 | CaiSE | Data-Driven Annotation of Textual Process Descriptions Based on Formal Meaning Representations. | Lars Ackermann, Julian Neuberger, Stefan Jablonski |