Evaluation methods for code generation models

Abstract

This article discusses evaluation methods for code generation models, focusing on BLEU scores and Pass@k metrics. BLEU scores are used to measure the similarity and consistency between generated code and reference code, while Pass@k metrics evaluate the pass rate of generated code on predefined test cases. Some other assessment methods are also presented.These assessment methods are important for improving and optimising code generation models.