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.

翻译：在当代社交媒体环境中，大量用户表达负面情绪，其中部分表现为强烈的自杀倾向。这一现状凸显了对专业心理咨询师的需求，他们能够实施有效的心理干预。然而，培养这类专业人员往往是一项必要但耗时的任务。因此，动员非专业人士或志愿者承担此角色成为紧迫议题。借助人工智能的能力，特别是大语言模型的最新进展，为这一挑战提供了可行解决方案。本文介绍了一种基于大语言模型构建的新颖模型，旨在全面协助非专业人士对在线用户话语提供心理干预。该框架使非专业咨询师的力量得以有效利用。我们进行了一项综合研究，邀请十位不同专业水平的心理咨询师，从五个关键维度评估该系统。研究结果证实，该系统能够相对准确地分析患者问题，并提供专业级别的策略建议，从而增强对非专业人士的支持。本研究充分验证了大语言模型在心理学领域的应用价值，并为基于社区的心理健康支持新范式奠定了基础。