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Ability-guided transfer reveals that agents struggle to consistently leverage learned experiences, challenging the effectiveness of current self-evolution methods.
LLMs excel in binary classifications but struggle dramatically with complex psychiatric diagnoses, revealing critical gaps in AI-assisted mental health tools.
Achieve more accurate psychiatric diagnoses and empathetic interactions by grounding LLM agents in a clinical reasoning bank and explicitly rewarding rubric-based reasoning steps.
