PulseAugur
实时 22:14:17

SAGE framework enhances LLMs for strategic online counseling

Researchers have developed SAGE, a novel framework that enhances Large Language Models for online counseling by integrating psychological theories and conversational dynamics. SAGE constructs a graph to unify these elements, using a Next Strategy Classifier to determine optimal therapeutic interventions. A Graph-Aware Attention mechanism then conditions the LLM to generate responses with greater clinical depth, outperforming existing models in strategy prediction and response quality. AI

影响 This framework could improve the clinical reasoning and safety of AI-powered mental health support tools.

排序理由 Academic paper detailing a new framework for LLMs in online counseling.

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

SAGE framework enhances LLMs for strategic online counseling

报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Eliya Naomi Aharon, Meytal Grimland, Avi Segal, Loona Ben Dayan, Inbar Shenfeld, Yossi Levi Belz, Kobi Gal ·

    SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling

    arXiv:2604.26630v1 Announce Type: new Abstract: Effective mental health counseling is a complex, theory-driven process requiring the simultaneous integration of psychological frameworks, real-time distress signals, and strategic intervention planning. This level of clinical reaso…

  2. arXiv cs.CL TIER_1 English(EN) · Kobi Gal ·

    SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling

    Effective mental health counseling is a complex, theory-driven process requiring the simultaneous integration of psychological frameworks, real-time distress signals, and strategic intervention planning. This level of clinical reasoning is critical for safety and therapeutic effe…