fMRI validation of GPT-4's ability to recognise Theory of Mind in natural conversations
Overview & Synopsis
Several studies in Artificial Intelligence emphasise the potential of Large Language Models (LLMs) in spontaneously developing Theory of Mind (ToM) due to their exposure to human-like language expressing mental states and reading literary fiction. Recent evaluations of GPT-4's ToM capabilities provide evidence that GPT-4 demonstrates advanced reasoning about the mental states of characters, adept handling of abstract situations, and proposing cooperative actions in social contexts. Here, we introduce the validation of ToM tagging, a tool leveraging LLMs to identify ToM exchanges within transcripts of naturalistic social interactions, using fMRI human brain recordings.
hal.science)
← / → for pages • + / - for zoom • 0 to fit width
Powered by Mozilla PDF.js v3.11
Document Information
| Document Title | fMRI validation of GPT-4's ability to recognise Theory of Mind in natural conversations |
|---|---|
| Author / Organization | Camilla Di Pasquasio, Rasya Kayleen Tsabitaah, Manon Fleury-Benoit, Marc Cavazza, Thierry Chaminade |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2024 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-240603 |
| Original Source Link | Visit Source Page on hal.science » |