News
Human Aspects of Machine Learning
Award
01-01-2025
The research program "Item Discovery for Psychological Testing Using Large Language Models" led by Tom Sühr, receives generous funding from the 2025 MPI-IS Grassroots program. The research aims at developing new methods for psychological test design, using large language models.
The research program "Item Discovery for Psychological Testing Using Large Language Models" led by Tom Sühr, receives generous funding from the 2025 MPI-IS Grassroots program. The research aims at developing new methods for psychological test design, using large language models. The project is an interdisciplinary and inter-institutional cooperation with Zhijing Jin and Bernhard Schölkopf from the Empirical Inference department and Augustin Kelava, from the Methods Center of the University of Tübingen. Samira Samadi, Tom Sühr and Lalitha Sivakumar from the Human Aspects of Machine Learning group, will join the efforts.
Tom Sühr
Samira Samadi
Zhijing Jin
Bernhard Schölkopf
Human Aspects of Machine Learning
Award
01-10-2024
Omri Ben-Dov received the ELSA mobility grant for a research visit in the university of Copenhagen
Omri received the ELSA mobility grant for a research visit in the university of Copenhagen to work with Amartya Sanyal
Omri Ben-Dov