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Nathan Scales
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Large Language Models Can Be Easily Distracted by Irrelevant Context


Feb 13, 2023
Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed Chi, Nathanael SchÀrli, Denny Zhou

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Large Language Models Encode Clinical Knowledge


Dec 26, 2022
Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Scharli, Aakanksha Chowdhery, Philip Mansfield, Blaise Aguera y Arcas, Dale Webster, Greg S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan

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Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them


Oct 17, 2022
Mirac Suzgun, Nathan Scales, Nathanael SchÀrli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei

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* GitHub repository: https://github.com/suzgunmirac/BIG-Bench-Hard 
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Compositional Semantic Parsing with Large Language Models


Sep 30, 2022
Andrew Drozdov, Nathanael SchĂ€rli, Ekin AkyĂŒrek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou

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* Fixed metadata. No other changes 
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Least-to-Most Prompting Enables Complex Reasoning in Large Language Models


May 21, 2022
Denny Zhou, Nathanael SchÀrli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, Ed Chi

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*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task


Dec 15, 2020
Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael SchÀrli

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* Accepted, AAAI-21 
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Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures


Jul 21, 2020
Daniel Furrer, Marc van Zee, Nathan Scales, Nathanael SchÀrli

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