🤖 LLM anthropomorphization: balancing ethics and business value
Reusens, M., & Baesens, B. (2025). LLM anthropomorphization: balancing ethics and business value. Journal of Business Analytics, 1–18. https://doi.org/10.1080/2573234X.2025.2551951
CV
Education
- Ph.D in Business Economics, KU Leuven, 2025
- Research stay University of Michigan, October-December 2024
- Research stay University of Melbourne, september 2022
- M.S. in Business engineering (Magna Cum Laude - 84%), KU Leuven, 2021
- B.S. in Business engineering (Magna Cum Laude - 77.5%), KU Leuven, 2019
- Exchange Semester at Brock university, 2018
Work Experience
- 2025-present: Senior Researcher and Research Manager of ACRAI
- University of Antwerp
- Project: Responsible AI
- 2025- present: Guest Lecturer
- KU Leuven
- Teaching Principles of Database Management
- 2021-2025: PhD Researcher
- KU Leuven
- Beyond Performance: Exploring the Multidimensional Capabilities and Risks of Large Language Models
- Supervisor: Bart Baesens; Co-Supervisors: Wouter Verbeke and Seppe vanden Broucke
- Summer 2020: Internship
- Infofarm
- Duties included: Data Preparation and Modeling
Publications
⚓ Large Language Models to make museum archive collections more accessible
Reusens, M., Adams, A. & Baesens, B. (2025). Large Language Models to make museum archive collections more accessible. AI & SOCIETY. https://doi.org/10.1007/s00146-025-02227-8
⚖️ Evaluating text classification: A benchmark study
Reusens, M., Stevens, A., Tonglet, J., De Smedt, J., Verbeke, W., Vanden Broucke, S., & Baesens, B. (2024). Evaluating text classification: A benchmark study. Expert Systems with Applications, 124302.
🐥 Predicting the demographics of Twitter users with programmatic weak supervision
Tonglet, J., Jehoul, A., Reusens, M., Reusens, M., & Baesens, B. (2024). Predicting the demographics of Twitter users with programmatic weak supervision. Top, 1-37.
✅ SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
Tonglet, J., Reusens, M., Borchert, P., & Baesens, B. (2023, December). SEER: A Knapsack approach to Exemplar Selection for In-Context HybridQA. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (pp. 13569-13583).
🌍 Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques
Reusens, M., Borchert, P., Mieskes, M., De Weerdt, J., & Baesens, B. (2023, December). Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (pp. 2887-2896).
📘 Topic modelling applied on innovation studies of Flemish companies
Crijns, A., Vanhullebusch, V., Reusens, M., Reusens, M., & Baesens, B. (2023). Topic modelling applied on innovation studies of Flemish companies. Journal of Business Analytics, 6(4), 243-254.
💡 Benchmarking conventional outlier detection methods
Tiukhova, E., Reusens, M., Baesens, B., & Snoeck, M. (2022, May). Benchmarking conventional outlier detection methods. In International Conference on Research Challenges in Information Science (pp. 597-613). Cham: Springer International Publishing.
Talks
Language Bias in AI: Ensuring Fairness Across Global English Speakers
Talk at Social Sciences and Humanities Research Day, Leuven, Belgium
LLMs for Keywording & Entity Recognition
Talk at AI in Cultural Heritage Group, online
Native design bias in Large Language Models
Talk at ORBEL, Maastricht, Netherlands
GenAI: Introduction and Academic Perspective
Talk at Spring Fest, Leuven, Belgium
Onderzoekssamenwerking tussen VSA en KU Leuven
Talk at Dag van het netwerk Statistiek Vlaanderen, Brussel, Belgium
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques
Conference proceedings talk at EMNLP, 8 Sentosa Gateway, Singapore
Benchmarking methods on different text classification tasks.
Conference proceedings talk at IFORS, Santiago, Chile
Benchmarking Dutch sentiment models for use in Twitter sentiment annotation
Talk at Statistics Flanders Seminar, Leuven, Belgium
Teaching
Mentoring
In total, I have guided 19 master theses at the KU Leuven. Two of these projects have led to a journal publication, and one of them led to a publication at EMNLP 2023. Apart from this, I have also guided summer interns.
Languages
- Dutch (C2)
- English (C1)
- French (B2)
- Turkish (A1)
Service and leadership
- March 2024: Co-organizer of the session Samenwerking tussen het netwerk Statistiek Vlaanderen en de academische wereld at the Dag van het Netwerk Statistiek Vlaanderen
- 2023-2024: Midzomerfestival - Fonds Mathieu Reusens, Festival Organizer
- 2020-2021: Symphonic Orchestra of the KU Leuven, President
- 2019-2020: Symphonic Orchestra of the KU Leuven, Treasurer
- 2018-2019: Symphonic Orchestra of the KU Leuven, Public Relations