Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support

Large language models show promise for mental health support, yet therapeutic quality improves only when evaluation functions as an actionable control signal rather than a passive metric. We introduce a framework that formulates therapeutic response generation as a decision-refinement problem driven by multi-dimensional, human-aligned evaluation. In Stage I, we introduce TheraJudge, an open-source therapeutic evaluator trained via preference-based optimization on human-annotated data to produce

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ethics.ai (29 June 2026), “Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support,” evidence record 432, https://ethics.ai/record/432 (originally published by arXiv).

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