Manon Reusens, Bart Baesens, and David Jurgens. 2025. Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs. In Findings of the Association for Computational Linguistics: EMNLP 2025, pages 11268–11287, Suzhou, China. Association for Computational Linguistics.
Geerts, M., Reusens, M., Baesens, B., vanden Broucke, S., De Weerdt, J. (2026). On the Performance of LLMs for Real Estate Appraisal. In: Dutra, I., et al. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. ECML PKDD 2025. Lecture Notes in Computer Science(), vol 16021. Springer, Cham. https://doi.org/10.1007/978-3-032-06118-8_12
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
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
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.
Tonglet, J., Jehoul, A., Reusens, M., Reusens, M., & Baesens, B. (2024). Predicting the demographics of Twitter users with programmatic weak supervision. Top, 1-37.
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).
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).
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.
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.
Talk at Dataminded Teamweekend, Bernkastel-Kaus, Germany
Talk at Social Sciences and Humanities Research Day, Leuven, Belgium
Talk at AI in Cultural Heritage Group, online
Talk at ORBEL, Maastricht, Netherlands
Talk at Spring Fest, Leuven, Belgium
Talk at Dag van het netwerk Statistiek Vlaanderen, Brussel, Belgium
Conference proceedings talk at EMNLP, 8 Sentosa Gateway, Singapore
Conference proceedings talk at IFORS, Santiago, Chile
Talk at Statistics Flanders Seminar, Leuven, Belgium
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.