Awesome-Story-Generation
🔥 Due to limitations with the Semantic Scholar API, we are unable to display citation counts for all papers in this repo.
We focus on showing citation counts for all LLMs-era papers and some earlier influential papers.
Here, "influential" means papers with over 50 citations.
Table of Contents
Introduction
This repository collects an extensive list of awesome papers about Story Generation / Storytelling, primarily focusing on the era of Large Language Models (LLMs).
All papers are sorted in chronological order, with the most recent ones appearing at the top.
Due to limited energy and time, there may be omissions and errors. If you notice any issues or mistakes, please feel free to open issues or submit PRs!
If you have any suggestions or questions, please do not hesitate to reach out to me:
mayingpeng33 [AT] gmail [DOT] com
Papers
Eg. ACL-2023
Title [paper] [code] .. [authors]
Literature Review
CHI-2024
The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing [paper] [Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin]EMNLP-2023
Creative Natural Language Generation [paper] [Tuhin Chakrabarty, Vishakh Padmakumar, He He, Nanyun Peng]Neurocomputing-2023
Open-world story generation with structured knowledge enhancement: A comprehensive survey [paper] [Yuxin Wang, Jieru Lin, Zhiwei Yu, Wei Hu, Börje F. Karlsson]WNU-2022
What is Wrong with Language Models that Can Not Tell a Story? [paper] [Ivan P. Yamshchikov, Alexey Tikhonov]ACM Computing Surveys-2021
Automatic Story Generation [paper] [Arwa I. Alhussain, Aqil M. Azmi]NUSE-2021
Automatic Story Generation: Challenges and Attempts [paper] [Amal Alabdulkarim, Siyan Li, Xiangyu Peng]
Large Language Model
EACL-2024
Creating Suspenseful Stories: Iterative Planning with Large Language Models [paper] [Kaige Xie, Mark Riedl]Arxiv-2024
SWAG: Storytelling With Action Guidance [paper] [Zeeshan Patel, Karim El-Refai, Jonathan Pei, Tianle Li]Arxiv-2024
Weaver: Foundation Models for Creative Writing [paper] [Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, ... , Yuchen Eleanor Jiang, Wangchunshu Zhou]ArXiv-2023
AutoAgents: A Framework for Automatic Agent Generation [paper] [Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje F. Karlsson, Jie Fu, Yemin Shi]ArXiv-2023
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text [paper] [code] [Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan]
Plot Development
Stanford CS224N Custom Project-2023
Novelty: Optimizing StreamingLLM for Novel Plot Generation [paper] [Joyce Chen, Megan Mou]ArXiv-2023
End to End Story Plot Generator [paper] [Hanlin Zhu, Andrew Cohen, Danqing Wang, Kevin Yang, Xiaomeng Yang, Jiantao Jiao, Yuandong Tian]AAAI Workshop-2023
Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction [paper] [Chieh-Yang Huang, Saniya Naphade, Kavya Laalasa Karanam, Ting-Hao 'Kenneth' Huang]RANLP-2023
Coherent Story Generation with Structured Knowledge [paper] [Congda Ma, Kotaro Funakoshi, Kiyoaki Shirai, Manabu Okumura]EMNLP-2022
EtriCA: Event-triggered context-aware story generation augmented by cross attention [paper] [Chen Tang, Chenghua Lin, Henglin Huang, Frank Guerin, Zhihao Zhang]INLG-2022
Plot Writing From Pre-Trained Language Models [paper] [Yiping Jin, Vishakha Kadam, Dittaya Wanvarie]AAAI-2020
Story Realization: Expanding Plot Events into Sentences [paper] [code] [Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl]
Better Storytelling
ArXiv-2024
With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation [paper] [Y. Wang, D. Ma, D. Cai]PAKDD-2024
LongStory: Coherent, Complete and Length Controlled Long story Generation [paper] [Kyeongman Park, Nakyeong Yang, Kyomin Jung]EMNLP Findings-2023
Affective and Dynamic Beam Search for Story Generation [paper] [Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi]EMNLP Findings-2023
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence [paper] [Zhihua Wen, Zhiliang Tian, Wei Wu, Yuxin Yang, Yanqi Shi, Zhen Huang, Dongsheng Li]ACL-2023
Open-ended Long Text Generation via Masked Language Modeling [paper] [Xiaobo Liang, Zecheng Tang, Juntao Li, Min Zhang]ArXiv-2022
Future Sight: Dynamic Story Generation with Large Pretrained Language Models [paper] [Brian D. Zimmerman, Gaurav Sahu, Olga Vechtomova]ACL Workshop-2022
Coherent Long Text Generation by Contrastive Soft Prompt [paper] [Guandan Chen, Jiashu Pu, Yadong Xi, Rongsheng Zhang]AACL-2022
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics [paper] [Henglin Huang, Chen Tang, Tyler Loakman, Frank Guerin, Chenghua Lin]AAAI-2022
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework [paper] [Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang]PhD Thesis-2022
Great Expectations: Unsupervised Inference of Suspense, Surprise and Salience in Storytelling [paper] [David Wilmot]NAACL-2022
Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts [paper] [Rujun Han, Hong Chen, Yufei Tian, Nanyun Peng]ACL Findings-2022
Event Transition Planning for Open-ended Text Generation [paper] [Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong]ICASSP-2022
Clseg: Contrastive learning of story ending generation [paper] [Yuqiang Xie, Yue Hu, Luxi Xing, Yunpeng Li, Wei Peng, Ping Guo]ICML-2022
Towards Coherent and Consistent Use of Entities in Narrative Generation [paper] [Pinelopi Papalampidi, Kris Cao, Tomas Kocisky]EMNLP Findings-2021
Guiding Neural Story Generation with Reader Models [paper] [Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl]ArXiv-2021
Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning [paper] [Amal Alabdulkarim, Winston Li, Lara J. Martin, Mark O. Riedl]ArXiv-2021
Automated Story Generation as Question-Answering [paper] [Louis Castricato, Spencer Frazier, Jonathan Balloch, Nitya Tarakad, Mark Riedl]ACL-2021
Long text generation by modeling sentence-level and discourse-level coherence [paper] [Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang]