Tab-CoT: Zero-shot Tabular Chain of Thought

Language models are few-shot learners

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Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared 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 M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher 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 · 2005

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CommonsenseQA: A question answering challenge targeting commonsense knowledge

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Training verifiers to solve math word problems

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Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

Pal: Program-aided language models

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Large language models are zero-shot reasoners

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Self-consistency improves chain of thought reasoning in language models

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Chain of thought prompting elicits reasoning in large language models

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