Awesome-Story-Generation

<h1 align="center">Awesome-Story-Generation</h1> <div align="center">Contributed by <a href="https://yingpengma.github.io/">Yingpeng Ma</a>, <a href="https://mantle2048.github.io/">Yan Ma</a></div>

🔥 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

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• Papers
  • Literature Review
  • Large Language Model
  • Plot Development
  • Better Storytelling
  • Story Character
  • Writing Style
  • Story Planning
  • Controllable Story
  • Reasonable Story
  • Benchmark
  • Others
• Public Resources

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

<!-- ## Related Repository |**[Awesome-LLM-Characters](https://github.com/yingpengma/Awesome-LLM-Characters)**| |:---:| -->

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]