Bits of Grass: Does GPT already know how to write like Whitman?

Piotr Sawicki, Marek Grzes, Fabricio Goes, Dan Brown, Max Peeperkorn +1 more
5/10/2023
cs.CL

No confident code implementation found for this paper.

Abstract

This study examines the ability of GPT-3.5, GPT-3.5-turbo (ChatGPT) and GPT-4 models to generate poems in the style of specific authors using zero-shot and many-shot prompts (which use the maximum context length of 8192 tokens). We assess the performance of models that are not fine-tuned for generating poetry in the style of specific authors, via automated evaluation. Our findings indicate that without fine-tuning, even when provided with the maximum number of 17 poem examples (8192 tokens) in the prompt, these models do not generate poetry in the desired style.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Shaer: Controlled Arabic Poetry Generation with Meter Subform and Semantic Conditioning

83% match2026

Identifying the style by a qualified reader on a short fragment of generated poetry

82% match2023

BIPro: Zero-shot Chinese Poem Generation via Block Inverse Prompting Constrained Generation Framework

81% match1 repo62024

Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit's Showerthoughts

80% match2024

Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches

80% match1 repo262023

Does ChatGPT Have a Poetic Style?

80% match1 repo32024

Cite this paper

@article{sawicki2023bits,
  title  = {Bits of Grass: Does GPT already know how to write like Whitman?},
  author = {Piotr Sawicki and Marek Grzes and Fabricio Goes and Dan Brown and Max Peeperkorn and Aisha Khatun},
  year   = {2023},
  eprint = {2305.11064},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.11064v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2305.11064.svg)](https://codeofpaper.com/paper/2305.11064)

Discussion