Dreaming with ChatGPT: Unraveling the Challenges of LLMs Dream Generation

Harel Berger, Hadar King, Omer David

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Large Language Models (LLMs), such as ChatGPT, are used daily for different human-like text generation tasks. This motivates us to ask: Can an LLM generate human dreams? For this research, we explore this new avenue through the lens of ChatGPT, and its ability to generate valid dreams. We have three main findings: (i) Chatgpt-4o, the new version of chatGPT, generated all requested dreams. (ii) Generated dreams meet key psychological criteria of dreams. We hope our work will set the stage for developing a new task of dream generation for LLMs. This task can help psychologists evaluate patients’ dreams based on their demographic factors.

Original languageEnglish
Title of host publicationNLP4Science 2024 - 1st Workshop on NLP for Science, Proceedings of the Workshop
EditorsLotem Peled-Cohen, Nitay Calderon, Shir Lissak, Roi Reichart
PublisherAssociation for Computational Linguistics (ACL)
Pages140-147
Number of pages8
ISBN (Electronic)9798891761858
DOIs
StatePublished - 2024
Externally publishedYes
Event1st Workshop on NLP for Science, NLP4Science 2024 - Miami, United States
Duration: 16 Nov 2024 → …

Publication series

NameNLP4Science 2024 - 1st Workshop on NLP for Science, Proceedings of the Workshop

Conference

Conference1st Workshop on NLP for Science, NLP4Science 2024
Country/TerritoryUnited States
CityMiami
Period16/11/24 → …

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