@inproceedings{376469e16d1445ec994ee82c0e912c67,
title = "Dreaming with ChatGPT: Unraveling the Challenges of LLMs Dream Generation",
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{\textquoteright} dreams based on their demographic factors.",
author = "Harel Berger and Hadar King and Omer David",
note = "Publisher Copyright: {\textcopyright} 2024 Association for Computational Linguistics.; 1st Workshop on NLP for Science, NLP4Science 2024 ; Conference date: 16-11-2024",
year = "2024",
doi = "10.18653/v1/2024.nlp4science-1.11",
language = "الإنجليزيّة",
series = "NLP4Science 2024 - 1st Workshop on NLP for Science, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "140--147",
editor = "Lotem Peled-Cohen and Nitay Calderon and Shir Lissak and Roi Reichart",
booktitle = "NLP4Science 2024 - 1st Workshop on NLP for Science, Proceedings of the Workshop",
address = "الولايات المتّحدة",
}