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Found 4 papers, 1 papers with code
DeltaScore: Fine-Grained Story Evaluation with Perturbations
Numerous evaluation metrics have been developed for natural language generation tasks, but their effectiveness in evaluating stories is limited as they are not specifically tailored to assess intricate aspects of storytelling, such as fluency and interestingness.
The Next Chapter: A Study of Large Language Models in Storytelling
To enhance the quality of generated stories, recent story generation models have been investigating the utilization of higher-level attributes like plots or commonsense knowledge.
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders
GPT-2 has been frequently adapted in story generation models as it provides powerful generative capability.
From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry
In this paper, we adapt Deep-speare, a joint neural network model for English sonnets, to Chinese poetry.
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