Overview of the Comprehensive Evaluation of Large Language Models

In recent years, the rapid development of large language models (LLMs) has attracted increasing interest from artificial intelligence researchers, and many large language models have emerged at home and abroad. These models have demonstrated amazing abilities in specific fields and have become important tools in the field of natural language processing. With the widespread promotion of large language models in research and daily application, it is increasingly important to conduct comprehensive testing on large language models. However, there is currently no clear methodology or unified technical standards for the comprehensive evaluation of large language models. In view of this, this paper will focus on the comprehensive evaluation of large language models, review the existing mainstream evaluation methods and standards. And based on this, the paper will explore the comprehensive assessment of large language models in various aspects, including intelligence, reliability, security, robustness, resource consumption, and social norms. This paper aims to provide a valuable reference for large language model researchers and developers and to promote the development and application of large language models.