Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation

Bowen Shi; Mei Si; Yuetian Chen

Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2306.13195 v1 pith:IKHKJ2IO submitted 2023-06-22 cs.CL cs.AI

Yuetian Chen , Bowen Shi , Mei Si This is my paper

classification cs.CLcs.AI

keywords gpt-3humorcomedygenerationhumaninstructionsmodelsstep-by-step

verification ladder T0 review T1 audit T2 compute T3 formal

0 comments

read the original abstract

Artificial intelligence has made significant progress in natural language processing, with models like GPT-3 demonstrating impressive capabilities. However, these models still have limitations when it comes to complex tasks that require an understanding of the user, such as mastering human comedy writing strategies. This paper explores humor generation using GPT-3 by modeling human comedy writing theory and leveraging step-by-step thinking instructions. In addition, we explore the role of cognitive distance in creating humor.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

Psychology-Driven Enhancement of Humour Translation
cs.CL 2025-07 conditional novelty 5.0 of 10

A decomposition-and-recomposition prompt method for humor translation reports large gains on LLM-based metrics, but the evaluation lacks human validation and statistical checks.

Pith tools