arXiv (OAI Expanded)
open access
Authorship attribution and aesthetic evaluation of AI poetry: a case study with Haiku
This paper investigates the generation and human evaluation of Japanese haiku by contemporary Large Language Models (LLMs), focusing on authorship perception and aesthetic judgment within a constrained poetic form. Using a few-shot prompting strategy, Japanese haiku were generated across a heterogen
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Introduction: The Place of Poetry in Contemporary Aesthetics#736300
- Translating the Iconicity of Classical Chinese Poetry / by Guangxu Zhao#1153955
- Art of Poetry#18437
- Poetry and Ethics: Inventing Possibilities in Which We Are Moved to Action and How We Live Together#741549
- Poems in Many Lands#54925
Record · ID 1109509
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive