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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
This repository collects an extensive list of awesome papers about Story Generation / Storytelling, exclusively focusing on the era of Large Language Models (LLMs).
| Date | Stars |
|---|---|
| 2026-07-31 | 639 |
| 2026-08-02 | 641 |
| 2026-08-06 | 641 |
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<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> ## 🔥 Recognizing the paradigm shift brought by **Large Language Models**, we now focus exclusively on LLM-related research. For those interested in previous research before LLM era, an archived version is available in [Old Version](old_version.md) (this archive is **no longer maintained**). ## Table of Contents - [Introduction](#introduction) <!-- - [Related Repository](#related-repository) --> - [Papers](#papers) - [Overview](#overview) - [Plan And Write](#plan-and-write) - [Multi Agent](#multi-agent) - [Multimodality](#multimodality) - [Better Storytelling](#better-storytelling) - [More Controllable](#more-controllable) - [More Personalized](#more-personalized) - [Evaluation](#evaluation) - [Dataset](#dataset) - [Public Resources](#public-resources) ## Introduction This repository collects awesome papers about **Story Generation / Storytelling** in LLM era. Papers are listed chronologically (most recent first). **Thank you for the stars!** We're continuously updating with the latest research. Cheers! 🍻 Your contributions matter! Please help keep this list current and accurate by opening issues or PRs for any mistakes or missing papers. Contact: `mayingpeng33 [AT] gmail [DOT] com` <!-- ## Related Repository |**[Awesome-LLM-Characters](https://github.com/yingpengma/Awesome-LLM-Characters)**| |:---:| --> ## Papers Eg. `ACL-20XX` **Title** [paper] [code] .. [authors] []() ### Overview - `ArXiv-2024` **What Makes a Good Story and How Can We Measure It? A Comprehensive Survey of Story Evaluation** [[paper]](https://arxiv.org/abs/2408.14622) [Dingyi Yang, Qin Jin] []() - `CHI-2024` **The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing** [[paper]](https://arxiv.org/abs/2403.12004) [Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin] [Mainly about ChatGPT, not including other models] []() - `ArXiv-2024` **Weaver: Foundation Models for Creative Writing** [[paper]](https://arxiv.org/abs/2401.17268) [Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, ... , Yuchen Eleanor Jiang, Wangchunshu Zhou] [Foundation Models which focus on writing capabilities] []() - `Neurocomputing-2023` **Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey** [[paper]](https://arxiv.org/abs/2212.04634) [Yuxin Wang, Jieru Lin, Zhiwei Yu, Wei Hu, Börje F. Karlsson] []() - `EMNLP Findings-2023` **Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding** [[paper]](https://arxiv.org/abs/2310.18783) [Lixing Zhu, Runcong Zhao, Lin Gui, Yulan He] []() ### Plan And Write - `ArXiv-2025` **Learning to Reason for Long-Form Story Generation** [[paper]](https://arxiv.org/abs/2503.22828v2) [Alexander Gurung, Mirella Lapata] []() - `NAACL-2025` **Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement** [[paper]](https://arxiv.org/abs/2412.13575) [Qianyue Wang, Jinwu Hu, Zhengping Li, Yufeng Wang, daiyuan li, Yu Hu, Mingkui Tan] []() - `EMNLP-2024` **Collective Critics for Creative Story Generation** [[paper]](https://arxiv.org/abs/2410.02428) [Minwook Bae, Hyounghun Kim] []() - `ACL-2024` **Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding** [[paper]](https://arxiv.org/abs/2408.08506) [Lei Huang, Jiaming Guo, Guanhua He, Xishan Zhang, Rui Zhang, Shaohui Peng, S
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Shufan Jiang · @eigent-ai · China
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Sizhou Chen · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8b44754c986a713f, topic:nlp, topic:natural-language-processing