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chain-of-thought-prompting-elicits-reasoning-in-large-language-models-2025-013

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed H. Chi, Quoc V. Le, Denny ZhouUFTAN UNIVERSITYEducational Technology2025

Abstract

This record links to the chain-of-thought prompting paper, which studies how intermediate reasoning steps improve large language model performance. It is useful for testing education technology records and AI-assisted learning metadata.

Metadata

Author
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou
Supervisor
Dr. Rose N. Ezeani
Faculty
Education
Department
Educational Technology
Document type
Masters Thesis
Year
2025
Keywords
chain of thought, prompting, reasoning, large language models, educational technology
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all_rights_reserved

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Source fields used: Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou
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