Does ChatGPT Have a Poetic Style?
Not on the map. Why?
Abstract (arXiv)
Generating poetry has become a popular application of LLMs, perhaps especially of OpenAI's widely-used chatbot ChatGPT. What kind of poet is ChatGPT? Does ChatGPT have its own poetic style? Can it successfully produce poems in different styles? To answer these questions, we prompt the GPT-3.5 and GPT-4 models to generate English-language poems in 24 different poetic forms and styles, about 40 different subjects, and in response to 3 different writing prompt templates. We then analyze the resulting 5.7k poems, comparing them to a sample of 3.7k poems from the Poetry Foundation and the Academy of American Poets. We find that the GPT models, especially GPT-4, can successfully produce poems in a range of both common and uncommon English-language forms in superficial yet noteworthy ways, such as by producing poems of appropriate lengths for sonnets (14 lines), villanelles (19 lines), and sestinas (39 lines). But the GPT models also exhibit their own distinct stylistic tendencies, both within and outside of these specific forms. Our results show that GPT poetry is much more constrained and uniform than human poetry, showing a strong penchant for rhyme, quatrains (4-line stanzas), iambic meter, first-person plural perspectives (we, us, our), and specific vocabulary like "heart," "embrace," "echo," and "whisper."
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 13 of its 39 references that are in the map. First posted on arXiv 20 Oct 2024.
Builds on
13 of 39 references.
References · 13
- 2023GPT-4 Technical Reportcited by 18,396
- 2023Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Modelscited by 207
- 2024Are Large Language Models Capable of Generating Human-Level Narratives?cited by 79
- 2024Delving into LLM-assisted writing in biomedical publications through excess vocabularycited by 78
- 2022Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writingcited by 71
- 2018Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhymecited by 35
- 2022ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Modelscited by 25
- 2016Chinese Poetry Generation with Planning based Neural Networkcited by 22
- 2022PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generationcited by 22
- 2024Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasetscited by 18
- 2024Evaluating Diversity in Automatic Poetry Generationcited by 17
- 2020Acrostic Poem Generationcited by 10
1 more
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Citing papers per year: 2025: 7; 2026: 5.
12 papers.
- 2025Roll the dice & look before you leap: Going beyond the creative limits of next-token predictioncited by 29
- 2025Provocations from the Humanities for Generative AI Researchcited by 10
- 2025Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writerscited by 8
- 2025AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-minicited by 7
- 2025Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Modelscited by 7
- 2026POEMetric: The Last Stanza of Humanitycited by 2
- 2026AI as a Tool for Simulation-Based Experiments in Literary Studiescited by 2
- 2026AI Fiction in the Wildcited by 2
- 2025ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theoriescited by 1
- 2026GhazalBench: Canonical Verse Access in LLMs across Persian Ghazals and Shakespearean Sonnetscited by 1
- 2025The cell as a token: high-dimensional geometry in language models and cell embeddingscited by 0
- 2026Training Data Size Sensitivity in Unsupervised Rhyme Recognitioncited by 0
- 2026AI Fiction in the Wild22 Jun 2026
- 2026AI as a Tool for Simulation-Based Experiments in Literary Studies1 Jun 2026
- 2026Training Data Size Sensitivity in Unsupervised Rhyme Recognition9 Apr 2026
- 2026POEMetric: The Last Stanza of Humanity4 Apr 2026
- 2026GhazalBench: Canonical Verse Access in LLMs across Persian Ghazals and Shakespearean Sonnets6 Feb 2026
- 2025Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writers15 Oct 2025
- 2025Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models14 Oct 2025
- 2025AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-mini30 Jul 2025
- 2025ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theories20 May 2025
- 2025Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction21 Apr 2025
- 2025The cell as a token: high-dimensional geometry in language models and cell embeddings26 Mar 2025
- 2025Provocations from the Humanities for Generative AI Research26 Feb 2025