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Neural language models are increasingly deployed into APIs and websites that allow a user to pass in a prompt and receive generated text.
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 · 1901
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Eine wahrscheinlichkeitsaufgabe in der kundenwerbung
George Pólya. 1930 · 1930
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Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
Earlier work this paper cites.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2019 · 2019
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
Earlier work this paper cites.
Automatic detection of generated text is easiest when humans are fooled
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, and Douglas Eck. 2020 · 2020
Cited alongside, same era.
Reverse engineering configurations of neural text generation models
Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, and Andrew Tomkins. 2020 · 2020
Cited alongside, same era.
Decoding methods in neural language generation: a survey
Sina Zarrieß, Henrik Voigt, and Simeon Schüz. 2021 · 2021
Cited alongside, same era.
Bloom: A 176b-parameter open-access multilingual language model
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, et al. 2022 · 2022
Cited alongside, same era.
On decoding strategies for neural text generators
Gian Wiher, Clara Meister, and Ryan Cotterell. 2022 · 2022
Later among the works it cites.
Pythia: A suite for analyzing large language models across training and scaling
Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, et al. 2023 · 2023
Closest in time.
On the risks of stealing the decoding algorithms of language models
Ali Naseh, Kalpesh Krishna, Mohit Iyyer, and Amir Houmansadr. 2023 · 2023
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Prompts should not be seen as secrets: Systematically measuring prompt extraction attack success
Yiming Zhang and Daphne Ippolito. 2023 · 2023
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