CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models

arXiv:2309.01940v4 Announce Type: replace
Abstract: With the emergence of Large Language Models (LLMs), there has been a significant improvement in the programming capabilities of models, attracting growing attention from researchers. Evaluating the programming capabilities of LLMs is crucial as it reflects the multifaceted abilities of LLMs, and it has numerous downstream applications. In this paper, we propose CodeApex, a bilingual benchmark dataset focusing on the programming comprehension, code generation, and code correction abilities of LLMs. Programming comprehension task tests LLMs …

abstract arxiv attention benchmark bilingual capabilities cs.ai cs.cl emergence evaluation improvement language language models large language large language models llms programming researchers type