Research is being conducted on the use of large language models as judges, with a focus on evaluating their performance in medical and clinical domains. Some studies suggest that these models can be enhanced with grading notes, while others reveal potential flaws in their methods. The development of new benchmarks and evaluation tools is also underway to assess the safety and effectiveness of large language models in various applications.