🔥 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.
Eg. ACL-2023
Title [paper] [code] .. [authors] []()
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] 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] []()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] []()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] []()AACL-2020
Cue Me In: Content-Inducing Approaches to Interactive Story Generation [paper] [Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi] FDG-2024
StoryVerse: Towards Co-authoring Dynamic Plot with LLM-based Character Simulation via Narrative Planning [paper] [Yi Wang, Qian Zhou, David Ledo] []()ArXiv-2024
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives [paper] [Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui] []()EMNLP-2022
Towards Inter-character Relationship-driven Story Generation [paper] [Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi]COLING-2022
CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions [paper] [Xinpeng Wang, Han Jiang, Zhihua Wei, Shanlin Zhou]ArXiv-2022
A Benchmark for Understanding and Generating Dialogue between Characters in Stories [paper] [Jianzhu Yao, Ziqi Liu, Jian Guan, Minlie Huang]ECML/PKDD-2022
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters [paper] [Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang]NAACL-2022
Persona-Guided Planning for Controlling the Protagonist’s Persona in Story Generation [paper] [code] [Zhexin Zhang, Jiaxin Wen, Jian Guan, Minlie Huang] ACL-2021
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories [paper] [Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley, Harsh Jhamtani] SIGDIAL-2021
Telling Stories through Multi-User Dialogue by Modeling Character Relations [paper] [Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl]ArXiv-2024
CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer [paper] [Zhen Tao, Dinghao Xi, Zhiyu Li, Liumin Tang, Wei Xu] []()ArXiv-2023
Learning to Generate Text in Arbitrary Writing Styles [paper] [Aleem Khan, Andrew Wang, Sophia Hager, Nicholas Andrews] []()ACL-2023
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing [paper] [Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu]ACL-2021
Stylized story generation with style-guided planning [paper] [Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang] ACL-2020
Story-level Text Style Transfer: A Proposal [paper] [Yusu Qian] ArXiv-2024
Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models [paper] [Yukyung Lee, Soonwon Ka, Bokyung Son, Pilsung Kang, Jaewook Kang] []()EMNLP Findings-2023
Improving Pacing in Long-Form Story Planning [paper] [Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein] []()ArXiv-2023
EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation [paper] [Wang You, Wenshan Wu, Yaobo Liang, Shaoguang Mao, Chenfei Wu, Maosong Cao, Yuzhe Cai, Yiduo Guo, Yan Xia, Furu Wei, Nan Duan] []()ArXiv-2023
RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment [paper] [Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian] []()ArXiv-2023
Enhancing Generation through Summarization Duality and Explicit Outline Control [paper] [Yunzhe Li, Qian Chen, Weixiang Yan, Wen Wang, Qinglin Zhang, Hari Sundaram] []()ArXiv-2022
Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning and Generation with Large Language Models [paper] [Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan]ACL-2023
DOC: Improving Long Story Coherence With Detailed Outline Control [paper] [code] [Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian] ArXiv-2022
Neural Story Planning [paper] [Anbang Ye, Christopher Cui, Taiwei Shi, Mark O. Riedl] EMNLP-2022
Re3: Generating longer stories with recursive reprompting and revision [paper] [Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein] []()AAAI-2021
Narrative Plan Generation with Self-Supervised Learning [paper] [Mihai Polceanu, Julie Porteous, Alan Lindsay, Marc Cavazza] INLG-2021
GraphPlan: Story Generation by Planning with Event Graph [paper] [Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama]EMNLP-2020
Content Planning for Neural Story Generation with Aristotelian Rescoring [paper] [Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph Weischedel, Nanyun Peng] []()AAAI-2020
Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder [paper] [Meng-Hsuan Yu, Juntao Li, Danyang Liu, Dongyan Zhao, Rui Yan, Bo Tang, Haisong Zhang]ACL-2019
Strategies for Structuring Story Generation [paper] [Angela Fan, Mike Lewis, Yann Dauphin] []()AAAI-2019
Plan-And-Write: Towards Better Automatic Storytelling [paper] [code] [Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan] []()EMNLP-2018
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation [paper] [code] [Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun] []()ACL-2018
Hierarchical Neural Story Generation [paper] [code] [writing prompt] [Angela Fan, Mike Lewis, Yann Dauphin] []()AAAI-2018
Event Representations for Automated Story Generation with Deep Neural Nets [paper] [code] [Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl] []()ACL-2024
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation [paper] [code] [Yan Ma, Yu Qiao, Pengfei Liu] []()ArXiv-2024
Returning to the Start: Generating Narratives with Related Endpoints [paper] [code] [Anneliese Brei, Chao Zhao, Snigdha Chaturvedi]ArXiv-2024
LiFi: Lightweight Controlled Text Generation with Fine-Grained Control Codes [paper] [Chufan Shi, Deng Cai, Yujiu Yang]INLG-2023
Controlling keywords and their positions in text generation [paper] [Yuichi Sasazawa, Terufumi Morishita, Hiroaki Ozaki, Osamu Imaichi, Yasuhiro Sogawa] COLING-2022
Psychology-guided Controllable Story Generation [paper] [Yuqiang Xie, Yue Hu, Yunpeng Li, Guanqun Bi, Luxi Xing, Wei Peng] WWW-2022
Genre-controllable story generation via supervised contrastive learning [paper] [JinUk Cho, MinSu Jeong, JinYeong Bak, Yun-Gyung Cheong]EMNLP Findings-2021
A Plug-and-Play Method for Controlled Text Generation [paper] [code] [Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer] []()NUSE-2021
Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes [paper] [code] [Zhiyu Lin, Mark Riedl] ArXiv-2021
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation [paper] [code] [Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen] []()ArXiv-2021
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events [paper] [Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen] EMNLP-2020
MEGATRON-CNTRL: Controllable story generation with external knowledge using large-scale language models [paper] [Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro] []()ACL-2019
Learning to Control the Fine-grained Sentiment for Story Ending Generation [paper] [Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun] IJCAI-2019
Controllable Neural Story Plot Generation via Reward Shaping [paper] [Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl] []()ACL-2018
Towards Controllable Story Generation [paper] [Nanyun Peng, Marjan Ghazvininejad, Jonathan May, Kevin Knight] []()SIGIR-2022
What makes the story forward? inferring commonsense explanations as prompts for future event generation [paper] [Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang]EMNLP Findings-2022
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning [paper] [Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark Riedl] AAAI-2021
Automated Storytelling via Causal, Commonsense Plot Ordering [paper] [Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl] []()AIIDE-2020
Bringing Stories Alive: Generating Interactive Fiction Worlds [paper] [code] [Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl] TACL-2020
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation [paper] [Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, Minlie Huang] []()EMNLP-2020
Improving Neural Story Generation by Targeted Common Sense Grounding [paper] [code] [Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley, Garrison W. Cottrell] AAAI-2019
Story Ending Generation with Incremental Encoding and Commonsense Knowledge [paper] [Jian Guan, Yansen Wang, Minlie Huang] []()TACL-2024
Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation [paper] [Cyril Chhun, Fabian M. Suchanek, Chloé Clavel] []()Arxiv-2024
Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers [paper] [Melanie Subbiah, Sean Zhang, Lydia B. Chilton, Kathleen McKeown] []()ArXiv-2023
Experimental Narratives: A Comparison of Human Crowdsourced Storytelling and AI Storytelling [paper] [Nina Begus] []()ArXiv-2023
Learning Personalized Story Evaluation [paper] [Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian] []()ArXiv-2023
BooookScore: A systematic exploration of book-length summarization in the era of LLMs[paper][Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer] []()ArXiv-2023
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks[paper][Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen] []()CHI-2023
Art or Artifice? Large Language Models and the False Promise of Creativity [paper] [Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu] []()ACL-2023
HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation [paper] [Qianyu He, Yikai Zhang, Jiaqing Liang, Yuncheng Huang, Yanghua Xiao, Yunwen Chen]ACL-2023
Can Large Language Models Be an Alternative to Human Evaluations? [paper] [Cheng-Han Chiang, Hung-yi Lee] []()ArXiv-2023
DeltaScore: Evaluating Story Generation with Differentiating Perturbations [paper] [Zhuohan Xie, Miao Li, Trevor Cohn, Jey Han Lau] []()INLG-2023
The Next Chapter: A Study of Large Language Models in Storytelling [paper] [Zhuohan Xie, Trevor Cohn, Jey Han Lau] []()IEEE Access-2023
Comparison of Evaluation Metrics for Short Story Generation [paper] [P. Netisopakul, Usanisa Taoto] EMNLP-2022
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning [paper] [Hong Chen, Duc Minh Vo, Hiroya Takamura, Yusuke Miyao, Hideki Nakayama] COLING-2022
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation [paper] [Cyril Chhun, Pierre Colombo, Chloé Clavel, Fabian M. Suchanek]TACL-2022
LOT: A story-centric benchmark for evaluating Chinese long text understanding and generation [paper] [Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang] ACL-2021
Openmeva: A benchmark for evaluating open-ended story generation metrics [paper] [Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang] []()EMNLP-2020
Union: An unreferenced metric for evaluating open-ended story generation [paper] [code] [Jian Guan, Minlie Huang] []()CoNLL-2019
Do Massively Pretrained Language Models Make Better Storytellers? [paper] [code] [Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning] []()NAACL-2016
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories [paper] [Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James Allen] []()ArXiv-2024
CollabStory: Multi-LLM Collaborative Story Generation and Authorship Analysis [paper] [Saranya Venkatraman, Nafis Irtiza Tripto, Dongwon Lee] []()IREC-COLING-2024
Reflections & Resonance: Two-Agent Partnership for Advancing LLM-based Story Annotation [paper] [Yuetian Chen, Mei Si] []()ArXiv-2024
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation [paper] [Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Stephen W. Huang, Ge Zhang, Jie Fu] []()ArXiv-2023
STONYBOOK: A System and Resource for Large-Scale Analysis of Novels [paper] [Charuta Pethe, Allen Kim, Rajesh Prabhakar, Tanzir Pial, Steven Skiena]ACL-2023
StoryWars: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation [paper] [Yulun Du, Lydia Chilton] []()TACL-2023
PASTA: A Dataset for Modeling Participant States in Narratives [paper] [Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian]NAACL-2022
A corpus for understanding and generating moral stories [paper] [Jian Guan, Ziqi Liu, Minlie Huang] EVAL4NLP-2021
StoryDB: Broad Multi-language Narrative Dataset [paper] [Alexey Tikhonov, Igor Samenko, Ivan P. Yamshchikov] ACL-2022
SummScreen: A Dataset for Abstractive Screenplay Summarization [paper] [data] [Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel] []()Arxiv-2021
TVStoryGen: A Dataset for Generating Stories with Character Descriptions [paper] [Mingda Chen, Kevin Gimpel] EMNLP-2020
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation [paper] [Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, Mohit Iyyer] []()ArXiv-2024
Ai.llude: Encouraging Rewriting AI-Generated Text to Support Creative Expression [paper] [David Zhou, Sarah Sterman]ArXiv-2024
Word2World: Generating Stories and Worlds through Large Language Models [paper] [code] [Muhammad U. Nasir, Steven James, Julian Togelius]ArXiv-2024
Let Storytelling Tell Vivid Stories: An Expressive and Fluent Multimodal Storyteller [paper] [Chuanqi Zang, Jiji Tang, Rongsheng Zhang, Zeng Zhao, Tangjie Lv, Mingtao Pei, Wei Liang]CHI-2024
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models [paper] [Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, Lionel P. Robert]Arxiv-2024
GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agency [paper] [Catherine Yeh, Gonzalo Ramos, Rachel Ng, Andy Huntington, Richard Banks]ArXiv-2023
Inspo: Writing Stories with a Flock of AIs and Humans [paper] [Chieh-Yang Huang, Sanjana Gautam, Shannon McClellan Brooks, Ya-Fang Lin, Ting-Hao 'Kenneth' Huang]AAAI-2023
SceneCraft: Automating Interactive Narrative Scene Generation in Digital Games with Large Language Models [paper] [Vikram Kumaran, Jonathan Rowe, Bradford Mott, James Lester]ArXiv-2023
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers [paper] [Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi]EMNLP Findings-2023
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding [paper] [Lixing Zhu, Runcong Zhao, Lin Gui, Yulan He]CoNLL Workshop-2023
BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? [paper] [Xingmeng Zhao, Tongnian Wang, Sheri Osborn, Anthony Rios]ArXiv-2023
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers [paper] [Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan]UIST-2023
Storyfier: Exploring Vocabulary Learning Support with Text Generation Models [paper] [Zhenhui Peng, Xingbo Wang, Qiushi Han, Junkai Zhu, Xiaojuan Ma, Huamin Qu]PACLIC-2023
Generating Character Lines in Four-Panel Manga [paper] [Michimasa Inaba]ArXiv-2022
Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers [paper] [Daphne Ippolito, Ann Yuan, Andy Coenen, Sehmon Burnam]ArXiv-2022
Survey: Automatic Movie Plot and Script Generation [paper] [Prerak Gandhi, Pushpak Bhattacharyya]CHI-2022
TaleBrush: Sketching Stories with Generative Pretrained Language Models [paper] [John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, Minsuk Chang]EMNLP-2022
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing [paper] [Tuhin Chakrabarty, Vishakh Padmakumar, He He]CHI-2023
Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals [paper] [Piotr Mirowski, Kory W. Mathewson, Jaylen Pittman, Richard Evans]NeurIPS-2022
Factuality Enhanced Language Models for Open-Ended Text Generation [paper] [Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro]FDG-2022
TropeTwist: Trope-based Narrative Structure Generation [paper] [Alberto Alvarez, Jose Font]IUI-2022
Wordcraft: Story Writing With Large Language Models [paper] [Ann Yuan, Andy Coenen, Emily Reif, Daphne Ippolito]ACM Computing Surveys-2023
A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models [paper] [Hanqing Zhang, Haolin Song, Shaoyu Li, Ming Zhou, Dawei Song]ACL-IJCNLP-2021
KuiLeiXi: a Chinese Open-Ended Text Adventure Game [paper] [Heng Ji, Jong C. Park, Rui Xia]IJCAI AI4Narratives-2020
THEaiTRE: Artificial Intelligence to Write a Theatre Play [paper] [Rudolf Rosa, Ondřej Dušek, Tom Kocmi, David Mareček, Tomáš Musil, Patrícia Schmidtová, Dominik Jurko, Ondřej Bojar, Daniel Hrbek, David Košťák, Martina Kinská, Josef Doležal, Klára Vosecká]ICCC-2020
Toward Automated Quest Generation in Text-Adventure Games [paper] [Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl]