๐Ÿ“–
fMRI validation of GPT-4's ability to recognise Theory of Mind in natural conversations
Camilla Di Pasquasio, Rasya Kayleen Tsabitaah, Manon Fleury-Benoit, Marc Cavazza, Thierry Chaminade

fMRI validation of GPT-4's ability to recognise Theory of Mind in natural conversations

Science & Mathematics Published 2024 Verification Pending

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.

Indexed from repository: HAL Open Science (hal.science)
Loading document from verified source...
Keyboard Shortcuts: ← / → 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 »