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Story plots, while short, carry most of the essential information of a full story that may contain tens of thousands of words.
Toward a model of children’s story comprehension
Eugene Charniak · 1972
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Story generation with crowdsourced plot graphs
Boyang Li, Stephen Lee-Urban, George Johnston, and Mark Riedl · 2013
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The creative process: A computer model of storytelling and creativity
Scott R Turner · 2014
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Language as a latent variable: Discrete generative models for sentence compression
Yishu Miao and Phil Blunsom · 2016
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Hierarchical neural story generation, 2018
Angela Fan, Mike Lewis, and Yann Dauphin · 2018
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Towards controllable story generation
Nanyun Peng, Marjan Ghazvininejad, Jonathan May, and Kevin Knight · 2018
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Generating long sequences with sparse transformers, 2019
Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever · 2019
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Strategies for structuring story generation
Angela Fan, Mike Lewis, and Yann Dauphin · 2019
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Plan, write, and revise: an interactive system for open-domain story generation
Seraphina Goldfarb-Tarrant, Haining Feng, and Nanyun Peng · 2019
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Unsupervised hierarchical story infilling
Daphne Ippolito, David Grangier, Chris Callison-Burch, and Douglas Eck · 2019
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Counterfactual story reasoning and generation
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, and Yejin Choi · 2019
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T-cvae: Transformer-based conditioned variational autoencoder for story completion
Tianming Wang and Xiaojun Wan · 2019
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Plan-and-write: Towards better automatic storytelling, 2019
Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, and Rui Yan · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Content planning for neural story generation with aristotelian rescoring
Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph Weischedel, and Nanyun Peng · 2020
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Reformer: The efficient transformer, 2020
Nikita Kitaev, Łukasz Kaiser, and Anselm Levskaya · 2020
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Plotmachines: Outline-conditioned generation with dynamic plot state tracking
Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, and Jianfeng Gao · 2020
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Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, and Bryan Catanzaro · 2020
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Wordcraft: a human-ai collaborative editor for story writing
Andy Coenen, Luke Davis, Daphne Ippolito, Emily Reif, and Ann Yuan · 2021
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Dialogue state tracking with a language model using schema-driven prompting
Chia-Hsuan Lee, Hao Cheng, and Mari Ostendorf · 2021
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Plug-and-blend: a framework for plug-and-play controllable story generation with sketches
Zhiyu Lin and Mark O Riedl · 2021
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Multitask prompted training enables zero-shot task generalization
Train short, test long: Attention with linear biases enables input length extrapolation, 2022
Ofir Press, Noah A. Smith, and Mike Lewis · 2022
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Prompt Engineering Guide
Elvis Saravia · 2022
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Summarize, outline, and elaborate: Long-text generation via hierarchical supervision from extractive summaries
Xiaofei Sun, Zijun Sun, Yuxian Meng, Jiwei Li, and Chun Fan · 2022
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Zero-shot sonnet generation with discourse-level planning and aesthetics features
Yufei Tian and Nanyun Peng · 2022
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Language modeling via stochastic processes
Rose E Wang, Esin Durmus, Noah Goodman, and Tatsunori Hashimoto · 2022
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Victor Sanh, Albert Webson, Colin Raffel, Stephen H Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, et al · 2021
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Progressive generation of long text with pretrained language models, 2021
Bowen Tan, Zichao Yang, Maruan AI-Shedivat, Eric P. Xing, and Zhiting Hu · 2021
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Fudge: Controlled text generation with future discriminators
Kevin Yang and Dan Klein · 2021
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Adapting language models for zero-shot learning by meta-tuning on dataset and prompt collections
Ruiqi Zhong, Kristy Lee, Zheng Zhang, and Dan Klein · 2021
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Rethinking attention with performers, 2022
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, and Adrian Weller · 2022
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Talebrush: Sketching stories with generative pretrained language models
John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, and Minsuk Chang · 2022
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Go back in time: Generating flashbacks in stories with event temporal prompts
Rujun Han, Hong Chen, Yufei Tian, and Nanyun Peng · 2022
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Transformer language models without positional encodings still learn positional information, 2022
Adi Haviv, Ori Ram, Ofir Press, Peter Izsak, and Omer Levy · 2022
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Autoformalization with large language models
Yuhuai Wu, Albert Qiaochu Jiang, Wenda Li, Markus Rabe, Charles Staats, Mateja Jamnik, and Christian Szegedy · 2022
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Lm-infinite: Simple on-the-fly length generalization for large language models
Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, and Sinong Wang · 2023
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Openassistant conversations – democratizing large language model alignment, 2023
Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis, Zhi-Rui Tam, Keith Stevens, Abdullah Barhoum, Nguyen Minh Duc, Oliver Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, and Alexander Mattick · 2023
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Co-writing screenplays and theatre scripts with language models: Evaluation by industry professionals
Piotr Mirowski, Kory W Mathewson, Jaylen Pittman, and Richard Evans · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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H _ 2 \_2 o: Heavy-hitter oracle for efficient generative inference of large language models
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Judging llm-as-a-judge with mt-bench and chatbot arena, 2023
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica · 2023
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Recurrentgpt: Interactive generation of (arbitrarily) long text
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