Nathan Scales - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Compositional Semantic Parsing with Large Language ModelsAndrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou. iclr 2023: [doi]

Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou. icml 2023: 31210-31227 [doi]

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc Le, Ed Chi, Denny Zhou, Jason Wei. acl 2023: 13003-13051 [doi]

Least-to-Most Prompting Enables Complex Reasoning in Large Language ModelsDenny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang 0002, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi. iclr 2023: [doi]

2021

*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional TaskDmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli. AAAI 2021: 9949-9957 [doi]

2020

Measuring Compositional Generalization: A Comprehensive Method on Realistic DataDaniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet. iclr 2020: [doi]

2004

Modelling Electroosmotic Flow in Porous Media for Microfluidic ApplicationsNathan Scales, Niall Tait. icmens 2004: 571-577 [doi]

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