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ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models

Jentzsch, Sophie Freya and Kersting, Kristian (2023) ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models. In: 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023. 13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, 2023-07-09 - 2023-07-14, Toronto, Canada. doi: 10.48550/arXiv.2306.04563. ISBN 978-195942987-6. ISSN 0736-587X.

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Abstract

Humor is a central aspect of human communication that has not been solved for artificial agents so far. Large language models (LLMs) are increasingly able to capture implicit and contextual information. Especially, OpenAI's ChatGPT recently gained immense public attention. The GPT3-based model almost seems to communicate on a human level and can even tell jokes. Humor is an essential component of human communication. But is ChatGPT really funny? We put ChatGPT's sense of humor to the test. In a series of exploratory experiments around jokes, i.e., generation, explanation, and detection, we seek to understand ChatGPT's capability to grasp and reproduce human humor. Since the model itself is not accessible, we applied prompt-based experiments. Our empirical evidence indicates that jokes are not hard-coded but mostly also not newly generated by the model. Over 90% of 1008 generated jokes were the same 25 Jokes. The system accurately explains valid jokes but also comes up with fictional explanations for invalid jokes. Joke-typical characteristics can mislead ChatGPT in the classification of jokes. ChatGPT has not solved computational humor yet but it can be a big leap toward "funny" machines.

Item URL in elib:https://elib.dlr.de/198942/
Document Type:Conference or Workshop Item (Poster)
Title:ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Jentzsch, Sophie FreyaSophie.Jentzsch (at) dlr.dehttps://orcid.org/0000-0001-6217-8814UNSPECIFIED
Kersting, KristianDarmstadt University of TechnologyUNSPECIFIEDUNSPECIFIED
Date:July 2023
Journal or Publication Title:61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.48550/arXiv.2306.04563
ISSN:0736-587X
ISBN:978-195942987-6
Status:Published
Keywords:rtificial Intelligence (cs.AI); Computation and Language (cs.CL); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
Event Title:13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
Event Location:Toronto, Canada
Event Type:Workshop
Event Start Date:9 July 2023
Event End Date:14 July 2023
Organizer:ACL
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Köln-Porz
Institutes and Institutions:Institute of Software Technology
Institute of Software Technology > Intelligent and Distributed Systems
Deposited By: Jentzsch, Sophie Freya
Deposited On:14 Nov 2023 08:47
Last Modified:24 Apr 2024 20:59

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