Abstract
Large Language Models have shown prominent capabilities in generating functional code from natural language descriptions. However, a standardized way to evaluate these capabilities in an objective and unbiased manner is still to be found. In this paper we review the current evaluation methods available to this end, and run a new evaluation of the performance of one state-of-the-art model (GPT4-o-m