Score breakdown

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

paper-0142 · paper · 2022

Jason Wei et al.

Stepwise prompting unlocks latent reasoning; opened the reasoning-model agenda.

Academic, score -0.2201

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent604.00.0027140.50.001357OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent2.00.0714290.050.003571OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score -0.1709

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent604.00.0027140.20.000543OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent2.00.0714290.40.028571OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.3172

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent604.00.0027140.250.000679OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent2.00.0714290.10.007143OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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