In the contemporary landscape of social media, an alarming number of users
express negative emotions, some of which manifest as strong suicidal
intentions. This situation underscores a profound need for trained
psychological counselors who can enact effective mental interventions. However,
the development of these professionals is often an imperative but
time-consuming task. Consequently, the mobilization of non-professionals or
volunteers in this capacity emerges as a pressing concern. Leveraging the
capabilities of artificial intelligence, and in particular, the recent advances
in large language models, offers a viable solution to this challenge. This
paper introduces a novel model constructed on the foundation of large language
models to fully assist non-professionals in providing psychological
interventions on online user discourses. This framework makes it plausible to
harness the power of non-professional counselors in a meaningful way. A
comprehensive study was conducted involving ten professional psychological
counselors of varying expertise, evaluating the system across five critical
dimensions. The findings affirm that our system is capable of analyzing
patients' issues with relative accuracy and proffering professional-level
strategies recommendations, thereby enhancing support for non-professionals.
This research serves as a compelling validation of the application of large
language models in the field of psychology and lays the groundwork for a new
paradigm of community-based mental health support.

当代社交媒体领域中，用户表达负面情绪的数量惊人，其中一部分表现为强烈的自杀意向。因此，需要训练有素的心理咨询师进行有效的心理干预。然而，这些专业人员的培养通常是一项重要但耗时的任务，因此，调动非专业人员或志愿者在这方面的能力成为一个紧迫的问题。这篇论文介绍了一种基于大型语言模型构建的新模型，完全协助非专业人员在在线用户对话中提供心理干预。该框架使得以有意义的方式利用非专业心理咨询师的能力成为可能。通过对十名专业心理咨询师的综合研究，评估了该系统在五个关键维度上的效果。研究结果证实我们的系统能够相对准确地分析患者的问题并提供专业水平的策略建议，从而增强非专业人员的支持。这项研究为大型语言模型在心理学领域的应用提供了有力的验证，并为基于社区的心理健康支持奠定了基础。