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The improved generative capabilities of large language models have made them a powerful tool for creative writing and storytelling.
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, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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A circumplex model of affect
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On the opportunities and risks of foundation models
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Experimental narratives: A comparison of human crowdsourced storytelling and AI storytelling
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Art or artifice? large language models and the false promise of creativity
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LLaMA: Open and efficient foundation language models
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Empath: Understanding topic signals in large-scale text
Ethan Fast, Binbin Chen, and Michael S Bernstein. 2016a
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The next chapter: A study of large language models in storytelling
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