Stefano Panzeri
Biographic Data
| ID | 1835856 |
|---|---|
| NAME | Stefano Panzeri |
| GIVEN NAMES | Stefano |
| FAMILY NAME | Panzeri |
| SIGNATURE | PANZERI S |
| AFFILIATIONS | Universität Hamburg |
| ORCID | 0000-0003-1700-8909 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
GPT-4o reads the mind in the eyes
Humans possess a sophisticated ability to read the mind in the eyes of other people. Here we tested whether this ability is also present in GPT-4o, a multimodal LLM. Using two versions of a widely used theory of mind test, the Reading the Mind in Eyes Test and the Multiracial Reading the Mind in the Eyes Test, we found that GPT-4o outperformed humans in extracting mentalistic information from upright faces but underperformed humans when faces wer…
Testing theory of mind in large language models and humans
At the core of what defines us as humans is the concept of theory of mind: the ability to track other people's mental states. The recent development of large language models (LLMs) such as ChatGPT has led to intense debate about the possibility that these models exhibit behaviour that is indistinguishable from human behaviour in theory of mind tasks. Here we compare human and LLM performance on a comprehensive battery of measurements that aim to …
Testing theory of mind in large language models and humans
At the core of what defines us as humans is the concept of theory of mind: the ability to track other people's mental states. The recent development of large language models (LLMs) such as ChatGPT has led to intense debate about the possibility that these models exhibit behaviour that is indistinguishable from human behaviour in theory of mind tasks. Here we compare human and LLM performance on a comprehensive battery of measurements that aim to …
Testing theory of mind in large language models and humans
At the core of what defines us as humans is the concept of theory of mind: the ability to track other people's mental states. The recent development of large language models (LLMs) such as ChatGPT has led to intense debate about the possibility that these models exhibit behaviour that is indistinguishable from human behaviour in theory of mind tasks. Here we compare human and LLM performance on a comprehensive battery of measurements that aim to …
GPT-4o reads the mind in the eyes
Humans possess a sophisticated ability to read the mind in the eyes of other people. Here we tested whether this ability is also present in GPT-4o, a multimodal LLM. Using two versions of a widely used theory of mind test, the Reading the Mind in Eyes Test and the Multiracial Reading the Mind in the Eyes Test, we found that GPT-4o outperformed humans in extracting mentalistic information from upright faces but underperformed humans when faces wer…
Action Observation and Synchronization (1 works) · Child and Animal Learning Development (1 works) · Cognitive Abilities and Testing (1 works) · Cognitive psychology (1 works) · Cognitive science (1 works) · Computer Science (1 works) · Face Recognition and Perception (1 works) · Inference (1 works) · Information processing (1 works) · Language and cultural evolution (1 works)