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The Programmer's Assistant is an experimental prototype software development environment that integrates a chatbot with a code editor.
The Programmer’s Apprentice
Charles H. Rich and Richard C. Waters. 1990 · 1990
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Attention is All you Need. In Advances in Neural Information Processing Systems , I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Healthcare, artificial intelligence and the Fourth Industrial Revolution: Ethical, social and legal considerations
Safia Mahomed. 2018 · 2018
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Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877–1901
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 · 2020
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Meet GPT-3. It Has Learned to Code (and Blog and Argue). (Published 2020)
Cade Metz. 2022 · 2020
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AI-Assisted Human Labeling: Batching for Efficiency without Overreliance
Zahra Ashktorab, Michael Desmond, Josh Andres, Michael Muller, Narendra Nath Joshi, Michelle Brachman, Aabhas Sharma, Kristina Brimijoin, Qian Pan, Christine T Wolf, et al · 2021
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Evaluating a Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde, Jared Kaplan, Harrison Edwards, Yura Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, David W. Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William H. Guss, Alex Nichol, Igor Babuschkin, S. Arun Balaji, Shantanu Jain, Andrew Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew M. Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba. 2021 · 2021
Earlier work this paper cites.
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye, Anders Andreassen, Guy Gur-Ari, Henryk Witold Michalewski, Jacob Austin, David Bieber, David Martin Dohan, Aitor Lewkowycz, Maarten Paul Bosma, David Luan, Charles Sutton, and Augustus Odena. 2021 · 2021
Earlier work this paper cites.
Prompt programming for large language models: Beyond the few-shot paradigm. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems . 1–7
Laria Reynolds and Kyle McDonell. 2021 · 2021
Cited alongside, same era.
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, and Xuedong Huang. 2021 · 2021
Cited alongside, same era.
Paul Denny, Viraj Kumar, and Nasser Giacaman. 2022 · 2022
Cited alongside, same era.
GitHub copilot · your AI pair programmer
GitHub, Inc. 2022 · 2022
Cited alongside, same era.
Prompt engineering, text generation and large language models
Cobus Greyling. 2022 · 2022
On the Influence of Explainable AI on Automation Bias
Max Schemmer, Niklas Kühl, Carina Benz, and Gerhard Satzger. 2022 · 2022
Later among the works it cites.
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
Kurt Shuster, Jing Xu, Mojtaba Komeili, Da Ju, Eric Michael Smith, Stephen Roller, Megan Ung, Moya Chen, Kushal Arora, Joshua Lane, et al · 2022
Later among the works it cites.
LAMDA: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, and et al. 2022 · 2022
Later among the works it cites.
Prompting for a Conversation: How to Control a Dialog Model?
Josef Valvoda, Yimai Fang, and David Vandyke. 2022 · 2022
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Cited alongside, same era.
Survey of Hallucination in Natural Language Generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, and Pascale Fung. 2022 · 2022
Cited alongside, same era.
Competition-level code generation with AlphaCode
Yujia Li, David Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, and et al. 2022 · 2022
Cited alongside, same era.
Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, and Juho Leinonen. 2022 · 2022
Cited alongside, same era.
ChatGPT: Optimizing Language Models for Dialogue
OpenAI. 2022 · 2023
Closest in time.
The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software Development. In 28th International Conference on Intelligent User Interfaces
Steven I Ross, Fernando Martinez, Stephanie Houde, Michael Muller, and Justin D Weisz. 2023 · 2023
Closest in time.
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, and Alexander M. Rush. 2023 · 2023
Closest in time.