· Xiaojing Yang · Statistics
Bootstrap Resampling for Model Evaluation
Bootstrap resampling estimates uncertainty by repeatedly reusing the observed test set.
Bootstrap resampling estimates uncertainty by repeatedly reusing the observed test set.
A practical map for choosing statistical tests in NLP, MT, RAG, and LLM evaluation.
Bootstrap 通过反复重采样已有测试集,估计模型分数和模型差异的不确定性。
一张面向 NLP、MT、RAG 和 LLM 评估的统计检验选择图。