Score breakdown

Training Compute-Optimal Large Language Models

paper-0139 · paper · 2022

Jordan Hoffmann et al.

Chinchilla; rebalanced the field toward data-optimal training.

Academic, score -0.2057

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent664.00.0029840.50.001492OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent6.00.3571430.050.017857OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score -0.0565

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent664.00.0029840.20.000597OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent6.00.3571430.40.142857OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.2885

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent664.00.0029840.250.000746OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent6.00.3571430.10.035714OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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