Main content

Contributors:

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Data

Description: This page accompanies: Kosinski, M. (2024). Evaluating Large Language Models in Theory of Mind Tasks. Proceedings of the National Academy of Sciences (PNAS, IF: 11). https://doi.org/10.1073/pnas.2405460121

Wiki

This is a companion website for:

Kosinski, M. (2024). Evaluating large language models in theory of mind tasks. Proceedings of the National Acadademy of Sciences (PNAS). Download the article.

You will find here:

Files

Files can now be accessed and managed under the Files tab.

Citation

Tags

Artificial IntelligenceChinese RoomComputational Social ScienceEmergenceEmergent Propertiesfalse-belief tasksGPT-3Language ModelsLarge Language ModelsLLMMentalizingTheory-of-MindToMUnexpected Contents TaskUnexpected Transfer Task

Recent Activity

Unable to retrieve logs at this time. Please refresh the page or contact support@osf.io if the problem persists.

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.