Computational generation of stories is a subfield of computational creativity where artificial
intelligence and psychology intersect to teach computers how to mimic humans' creativity. It …

We consider the problem of automatically generating longer stories of over two thousand
words. Compared to prior work on shorter stories, long-range plot coherence and relevance …

The scope of this survey paper is to explore the challenges in automatic story generation.
We hope to contribute in the following ways: 1. Explore how previous research in story …

While advanced text generation algorithms (eg, GPT-3) have enabled writers to co-create
stories with an AI, guiding the narrative remains a challenge. Existing systems often …

Creating engaging interactive story-based experiences dynamically responding to individual
player choices poses significant challenges for narrative-centered games. Recent advances …

Large pre-trained neural language models (LM) have very powerful text generation
capabilities. However, in practice, they are hard to control for creative purposes. We …

Conditional story generation is significant in human-machine interaction, particularly in
producing stories with complex plots. While Large language models (LLMs) perform well on …

This article presents a novel and highly interactive process to generate natural language
narratives based on our ongoing work on semiotic relations, providing four criteria for …

Large pre-trained neural language models (LM) have very powerful text generation
capabilities. However, in practice, they are hard to control for creative purposes. We …

The advent of large pre-trained generative language models has provided a common
framework for AI story generation via sampling the model to create sequences that continue …