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Like humans, large language models (LLMs) do not always generate the best output on their first try.
Language models are few-shot learners
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Evaluating Large Language Models Trained on Code
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Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, and Eduard Hovy. 2021 · 2021
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Codenet: A large-scale ai for code dataset for learning a diversity of coding tasks
Ruchir Puri, David Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladmir Zolotov, Julian Dolby, Jie Chen, Mihir Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, and Frederick Reiss. 2021 · 2021
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Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, and Yiming Yang. 2021 · 2021
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Read, revise, repeat: A system demonstration for human-in-the-loop iterative text revision
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