Controllable Story Generation

Controllable story generation aims to create artificial intelligence systems capable of producing coherent and engaging narratives according to specific user-defined constraints. Current research focuses on improving narrative structure, such as ensuring thematic consistency between beginning and end, and incorporating external knowledge or psychological models to guide the generation process, often leveraging large pretrained language models and transformer architectures. These advancements enhance the logical flow and emotional depth of generated stories, contributing to a deeper understanding of narrative structure and potentially impacting creative writing tools, educational applications, and interactive entertainment.