Kardos, M., Enevoldsen, K., Kostkan, J., Kristensen-McLachlan, R. D. & Rocca, R. (2025).
Turftopic: Topic Modelling with Contextual Representations from Sentence Transformers.
The Journal of Open Source Software,
10(111), Article 8183.
https://doi.org/10.21105/joss.08183
Skyggebjerg, A. K., Coster, C.
, Friedrichsen, D. R., Jeppesen, F. L., Balling, G., Ratz, H., Stokholm, H. V., Vestergaard, L., Lange, M. M. K., Lauersen, C. (Ed.), Gothen, I. (Ed.), Søndergaard, A. K. & Andersen, S. D. S. (2025).
Unge & læsning: Et inspirationskatalog til arbejdet med unge læsere i alderen 16-29 år. Roskilde Bibliotekerne.
Bønnelykke-Behrndtz, M. L., Clasen, M., Benckendorff, J. N. E. S., Kristjansen, K. A., Høyer, L., Mensel, C., Nanthan, K.
& Andersen, M. (2025).
Unraveling the effect of recreational fear on inflammation: A prospective cohort field study.
Brain, Behavior, and Immunity,
123, 1042-1051.
https://doi.org/10.1016/j.bbi.2024.10.036
Asselborn, T.
, Bender, M., Marwitz, F., Moeller, R. & Melzer, S. (Accepted/In press).
Verbalisation Process of a RAG-Based Chatbot to Support Tabular Data Evaluation for Humanities Researchers. In M. Bender, S. Melzer, R. Möller & S. Thiemann (Eds.),
Proceedings of the Large Language Models for Research Data Management?! (LLMs4RDM) Workshop at Informatik 2025 CEUR Workshop Proceedings.
Toribio-Flórez, D., Altenmüller, M. S., Douglas, K. M., Gollwitzer, M., Adinugroho, I., Alfano, M., Apriliawati, D., Azevedo, F., Betsch, C., Białobrzeska, O., Bret, A., Valdez, A. C., Cologna, V., Czarnek, G., Delouvée, S., Doell, K. C., Dohle, S., Dubrov, D., Dzimińska, M. ... Wojcik, A. D. (2025).
Victims of Conspiracies? An Examination of the Relationship Between Conspiracy Beliefs and Dispositional Individual Victimhood.
European Journal of Social Psychology. Advance online publication.
https://doi.org/10.1002/ejsp.70008
Parola, A., Jessen, E. T., Rybner, A., Mortensen, M. D.
, Larsen, S. N., Simonsen, A., Lin, J. M., Zhou, Y., Wang, H., Koelkebeck, K., Sechidis, K., Bliksted, V.
& Fusaroli, R. (2025).
Vocal Markers of Schizophrenia: Assessing the Generalizability of Machine Learning Models and Their Clinical Applicability.
Schizophrenia Bulletin. Advance online publication.
https://doi.org/10.1093/schbul/sbaf124
Hove, M. F., Hjorth, F., Golovchenko, Y., Adler-Nissen, R.
, Bechmann, A., van Dalen, A., Hobolt, S. B. & de Vreese, C. (2025).
Wrong but less confident when the stakes are high. People’s inability to identify AI-generated images.