I'm a Research Engineer at kapa.ai (YC S23).
I'm also a PhD candidate in the Collaborative AI group at the University of Stuttgart, advised by Prof. Andreas Bulling, where my research focuses on theory of mind in AI.
During my PhD, I spent time as a Visiting Graduate Scholar at the SCAI Lab, Johns Hopkins University, advised by Prof. Tianmin Shu.
Interests
My research focuses on how AI can understand others' beliefs, goals, preferences, and intentions — a concept known as theory of mind — and how this understanding can improve human–AI interaction.
- Designing and assessing AI models for theory of mind across vision and language [AAAI'24] [ACL'24] [ECAI'24] [IJCAI-W'25]
- Probing and manipulating internal representations of mental states [EMNLP-F'25]
- Stress-testing theory of mind on large foundation models [EMNLP'25]
- Using theory of mind for action selection and intervention [ArXiv]
Publications
Preprints
ProToM: Promoting Prosocial Behaviour via Theory of Mind-Informed Feedback
arXiv:2509.05091
Peer Reviewed
ToM-SSI: Evaluating Theory of Mind in Situated Social Interactions
EMNLP 2025
Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models
EMNLP 2025 Findings · ICML 2024 Workshop on Mechanistic Interpretability
The Yokai Learning Environment: Tracking Beliefs Over Space and Time
IJCAI 2025 Workshop on Theory of Mind (Oral)
Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions
ECAI 2024 (Oral)
Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition
ACL 2024
Improving Neural Saliency Prediction with a Cognitive Model of Human Visual Attention
CogSci 2023
University: matteo [dot] bortoletto [at] uni-stuttgart [dot] de
Personal: mabo22 [dot] lab [at] gmail [dot] com