6.2 Effect of model size

PaLM’s performance on reading comprehension and passage completion tasks is linked to
model size [4, 117]; PaLM’s ability to understand broad context and carry out common-sense
reasoning is stronger for larger models. We similarly see improvement in reliability (measured
via Cronbach’s α and Guttman’s λ6), convergent validity (measured by Pearson’s r between
IPIP-NEO and BFI domain scores), and criterion validity (measured by IPIP-NEO domain
correlations with non-personality measures), summarized in Table 6.
PersonalityTraitsinLargeLanguageModels