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

Süzgün, Mirac; Scales, Nathan; Schärli, Nathanael; Gehrmann, Sebastian; Tay, Yi; Chung, Hyung Won; Chowdhery, Aakanksha; Le, Quoc V.; H., Ed; Zhou, Denny; Lee, Jason

doi:10.18653/v1/2023.findings-acl.824

articleJan 1, 2023GOLD OA

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

MSMirac Süzgün NSNathan Scales NSNathanael Schärli SGSebastian Gehrmann YTYi Tay

Google (United States) · Stanford University

Indexed incrossref

Abstract

Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc Le, Ed Chi, Denny Zhou, Jason Wei. Findings of the Association for Computational Linguistics: ACL 2023. 2023.

Citation impact

213

total citations

FWCI: 56.16
Percentile: 100%
References: 38

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Authors

11

Topics & keywords

Topics

Online Learning and Analytics44%

Keywords

Computer science
Big data
Cognitive science
Artificial intelligence
Psychology
Data mining

UN Sustainable Development Goals

Quality Education

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