Scholar
Marcel Binz
Google Scholar ID: Lvm9Q8QAAAAJ
Helmholtz Munich
Citations & Impact
Citations
2,075
H-index
19
i10-index
21
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- - A foundation model to predict and capture human cognition, Nature, 2025
- - Using cognitive psychology to understand GPT-3, Proceedings of the National Academy of Sciences, 2023
- - How should the advancement of large language models affect the practice of science?, Proceedings of the National Academy of Sciences, 2025
- - Meta-Learned Models of Cognition, Behavioral and Brain Sciences, 2024
- - Turning large language models into cognitive models, International Conference on Learning Representations, 2024
Research Experience
- Serves as a research scientist and deputy head at the Institute for Human-Centered AI, Helmholtz Munich; Engages in research related to human cognition.
Background
- Dr. Marcel Binz is a research scientist and deputy head of the Institute for Human-Centered AI at Helmholtz Munich. His research employs state-of-the-art machine learning methods to uncover the fundamental principles behind human cognition, and — in turn — translate that understanding into better aligned AI systems. He believes that to get a full understanding of the human mind, it is vital to consider it as a whole and not just as the sum of its parts. His current research goal is therefore to establish foundation models of human cognition — models that cannot only simulate, predict, and explain human behavior in a single domain but that offer a unified take on our mind.
