AI RESEARCH
EFT-CoT: A Multi-Agent Chain-of-Thought Framework for Emotion-Focused Therapy
arXiv CS.CL
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ArXi:2601.17842v2 Announce Type: replace The use of large language models (LLMs) for Mental Health Question Answering (MHQA) offers a promising way to alleviate shortages in mental health resources. However, prior work has mainly relied on Cognitive Behavioral Therapy (CBT) and predominantly follows a top-down strategy centered on rational cognitive restructuring, providing limited for embodied experience and primary emotion processing. To address this gap, we propose EFT-CoT, a multi-agent chain-of-thought framework grounded in Emotion-Focused Therapy