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Human-aligned evaluation can transform therapeutic response generation, leading to substantial improvements in mental health support quality.
LVLM judges, despite excelling in English, exhibit surprisingly inconsistent and unreliable behavior when evaluating content in other languages, revealing a critical blind spot in current alignment and evaluation pipelines.
