Researchers are exploring the use of large language models (LLMs) in mental health applications, including their potential for fine-tuning to improve safety performance. Studies are assessing the impact of LLMs on automated therapy, psychological support, and symptom evaluation, with some investigating the trade-offs between model characteristics and performance. The effectiveness and reliability of LLMs in detecting health misinformation and evaluating mental status are also being evaluated.