EMNLP 20250 citations
A Survey on LLMs for Story Generation
Maria Teleki, Vedangi Bengali, Xiangjue Dong, Sai Tejas Janjur, Haoran Liu, Tian Liu, Cong Wang, Ting Liu
Abstract
Methods for story generation with Large Language Models (LLMs) have come into the spotlight recently. We create a novel taxonomy of LLMs for story generation consisting of two major paradigms: (i) independent story generation by an LLM, and (ii) author-assistance for story generation – a collaborative approach with LLMs supporting human authors. We compare existing works based on their methodology, datasets, generated story types, evaluation methods, and LLM usage. With a comprehensive survey, we identify potential directions for future work
BibTeX
@inproceedings{emnlp2025_asurveyonllmsfor,
title = {A Survey on LLMs for Story Generation},
author = {Maria Teleki and Vedangi Bengali and Xiangjue Dong and Sai Tejas Janjur and Haoran Liu and Tian Liu and Cong Wang and Ting Liu and Yin Zhang and Frank Shipman and James Caverlee},
booktitle = {EMNLP 2025},
year = {2025}
}