FActScore is used to measure the performance of estimators through the calculation of F1 scores.
The paper tested various estimators and revealed that current estimators still have some way to go
in effectively addressing the task. Lin et al. [110] introduced the TruthfulQA dataset, designed to
cause models to make mistakes. Multiple language models were tested by providing factual answers.
The findings from these experiments suggest that simply scaling up model sizes may not necessarily
ASurveyonEvaluationofLargeLanguageModels