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Nathan Scales

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

6

Venues

4

Active years

2020–2023

Best venue rank

A*

Where they publish

Papers

6 indexed papers, newest first.

YearVenueTitleAuthors
2023ACLChallenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.Mirac Suzgun, Nathan Scales, Nathanael Schrli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei
2023ICLRCompositional Semantic Parsing with Large Language Models.Andrew Drozdov, Nathanael Schrli, Ekin Akyrek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
2023ICLRLeast-to-Most Prompting Enables Complex Reasoning in Large Language Models.Denny Zhou, Nathanael Schrli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi
2023ICMLLarge Language Models Can Be Easily Distracted by Irrelevant Context.Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schrli, Denny Zhou
2021AAAI*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task.Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schrli
2020ICLRMeasuring Compositional Generalization: A Comprehensive Method on Realistic Data.Daniel Keysers, Nathanael Schrli, 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