Storytelling and narrative are fundamental to human experience, intertwined with our social
and cultural engagement. As such, researchers have long attempted to create systems that …

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 …

We propose a general and efficient framework to control auto-regressive generation models
with NeurAlly-Decomposed Oracle (NADO). Given a pre-trained base language model and …

Narrative understanding involves capturing the author's cognitive processes, providing
insights into their knowledge, intentions, beliefs, and desires. Although large language …

While GPT-2 generates sentences that are remarkably human-like, longer documents can
ramble and do not follow human-like writing structure. We study the problem of imposing …

Story visualization advances the traditional text-to-image generation by enabling multiple
image generation based on a complete story. This task requires machines to 1) understand …

Automated story generation has been one of the long-standing challenges in NLP. Among
all dimensions of stories, suspense is very common in human-written stories but relatively …

Storytelling's captivating potential makes it a fascinating research area, with implications for
entertainment, education, therapy, and cognitive studies. In this paper, we propose Affective …

This paper investigates the capability of LLMs in storytelling, focusing on narrative
development and plot progression. We introduce a novel computational framework to …

Story plots, while short, carry most of the essential information of a full story that may contain
tens of thousands of words. We study the problem of automatic generation of story plots …