What is recorded here?
Showed that few-shot prompts containing intermediate reasoning steps improved reported performance of sufficiently large language models on arithmetic, commonsense and symbolic-reasoning benchmarks.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the exact nine-author NeurIPS 2022 paper. Results are model-, prompt- and benchmark-specific; generated rationales are not proofs of faithful internal reasoning, factuality, safety or universal task improvement.
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People and systems
Jason Wei; Xuezhi Wang; Dale Schuurmans; Maarten Bosma; Brian Ichter; Fei Xia; Ed H. Chi; Quoc V. Le; Denny Zhou
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
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English catalogue narrative
Wei and colleagues: chain-of-thought prompting
Showed that few-shot prompts containing intermediate reasoning steps improved reported performance of sufficiently large language models on arithmetic, commonsense and symbolic-reasoning benchmarks.
Scientific scope
The record is the exact nine-author NeurIPS 2022 paper. Results are model-, prompt- and benchmark-specific; generated rationales are not proofs of faithful internal reasoning, factuality, safety or universal task improvement.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Jason Wei; Xuezhi Wang; Dale Schuurmans; Maarten Bosma; Brian Ichter; Fei Xia; Ed H. Chi; Quoc V. Le; Denny Zhou
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.