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GPoeT-2: A GPT-2 Based Poem Generator

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arxiv 2205.08847 v1 pith:3V5XMJJG submitted 2022-05-18 cs.CL cs.AI

Kai-Ling Lo , Rami Ariss , Philipp Kurz This is my paper · ORCID
classification cs.CLcs.AI
keywords gpoet-2limerickspoetrygenerationgoodgpt-2languagelines
verification ladder T0 review T1 audit T2 compute T3 formal
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This project aims to produce the next volume of machine-generated poetry, a complex art form that can be structured and unstructured, and carries depth in the meaning between the lines. GPoeT-2 is based on fine-tuning a state of the art natural language model (i.e. GPT-2) to generate limericks, typically humorous structured poems consisting of five lines with a AABBA rhyming scheme. With a two-stage generation system utilizing both forward and reverse language modeling, GPoeT-2 is capable of freely generating limericks in diverse topics while following the rhyming structure without any seed phrase or a posteriori constraints.Based on the automated generation process, we explore a wide variety of evaluation metrics to quantify "good poetry," including syntactical correctness, lexical diversity, and subject continuity. Finally, we present a collection of 94 categorized limericks that rank highly on the explored "good poetry" metrics to provoke human creativity.

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Cited by 2 Pith papers

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  1. PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt Refinement

    cs.CV 2025-07 conditional novelty 6.0 of 10

    PoemTale Diffusion generates a coherent set of images from a poem by combining emotion-based segmentation, multi-stage LLM prompt refinement, and consistent self-attention, outperforming direct poem-to-image approache...

  2. Can Artificial Intelligence Write Like Borges? An Evaluation Protocol for Spanish Microfiction

    cs.CL 2025-06 conditional novelty 5.0 of 10

    The paper proposes and tests GrAImes, a literary-theory-based 15-item questionnaire for evaluating Spanish microfictions, finding modest inter-rater consistency across expert and enthusiast groups.

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