Decoding the Black Box: Discerning AI Rhetorics About and Through Poetic Prompting
Fuente:
arXiv
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908694771400704 |
|---|---|
| author | Edgar, P. D. Hall, Alia |
| author_facet | Edgar, P. D. Hall, Alia |
| contents | Prompt engineering has emerged as a useful way studying the algorithmic tendencies and biases of large language models. Meanwhile creatives and academics have leveraged LLMs to develop creative works and explore the boundaries of their writing capabilities through text generation and code. This study suggests that creative text prompting, specifically Poetry Prompt Patterns, may be a useful addition to the toolbox of the prompt engineer, and outlines the process by which this approach may be taken. Then, the paper uses poetic prompts to assess descriptions and evaluations of three models of a renowned poet and test the consequences of the willingness of models to adapt or rewrite original creative works for presumed audiences. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_05243 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Decoding the Black Box: Discerning AI Rhetorics About and Through Poetic Prompting Edgar, P. D. Hall, Alia Computation and Language Computers and Society Prompt engineering has emerged as a useful way studying the algorithmic tendencies and biases of large language models. Meanwhile creatives and academics have leveraged LLMs to develop creative works and explore the boundaries of their writing capabilities through text generation and code. This study suggests that creative text prompting, specifically Poetry Prompt Patterns, may be a useful addition to the toolbox of the prompt engineer, and outlines the process by which this approach may be taken. Then, the paper uses poetic prompts to assess descriptions and evaluations of three models of a renowned poet and test the consequences of the willingness of models to adapt or rewrite original creative works for presumed audiences. |
| title | Decoding the Black Box: Discerning AI Rhetorics About and Through Poetic Prompting |
| topic | Computation and Language Computers and Society |
| url | https://arxiv.org/abs/2512.05243 |