Forschungsinteressen
Head of Research Area Search and Learning
Research Interests
- Natural language processing
- Large language models
- Semantic networks
- Learning mechanisms
- Information search
- Generalizability
- Sustainability
Curriculum Vitae
Selected publications
Wulff, D. U., & Mata, R. (2026). Addressing longstanding challenges in cognitive science with language models. Trends in Cognitive Sciences.
Fuławka, K., Hertwig, R., & Wulff, D. U. (2026). Large language models accurately identify decision reasons in verbal reports. Proceedings of the National Academy of Sciences, 123(27), e2526798123.
Wulff, D. U., & Mata, R. (2025). Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement. Nature Human Behaviour.
Spektor, M. S., & Wulff, D. U. (2024). Pre-decisional information search adaptively reduces three types of uncertainty. Proceedings of the National Academy of Sciences.
Hussain. Z., Mata R., & Wulff, D. U. (2024). A tutorial on open-source large language models for behavioral science. Behavior Research Methods, 1-24.
Hertwig, R., & Wulff, D. U. (2022). A description–experience framework of the psychology of risk. Perspectives on Psychological Science, 17(3), 631-651.
Wulff, D. U., & Mata, R. (2022). On the semantic representation of risk. Science advances, 8(27), eabm1883.
Siew, C. S., Wulff, D. U., Beckage, N. M., & Kenett, Y. N. (2019). Cognitive network science: A review of research on cognition through the lens of network representations, processes, and dynamics. Complexity, 2019.
Wulff, D. U., De Deyne, S., Jones, M. N., Mata, R., & Aging Lexicon Consortium. (2019). New perspectives on the aging lexicon. Trends in cognitive sciences, 23(8), 686-698.
Wulff, D. U., Mergenthaler-Canseco, M., & Hertwig, R. (2018). A meta-analytic review of two modes of learning and the description-experience gap. Psychological bulletin, 144(2), 140-172.
Wulff, D. U., & van den Bos, W. (2018). Modeling choices in delay discounting. Psychological Science, 29(11), 1890-1894.