Publications

Benchmark hub with the current rubric, failure modes, data artifact library, and technical article.

A clinician-scored evaluation framework for testing whether AI models make sound next-response decisions in child anxiety and family-support conversations.

An empirical comparison of four large language models testing whether general-purpose AI defaults to unsolicited advice-giving when users present emotional problems without asking for solutions, and whether a therapeutically-tuned prompt corrects this.

An empirical comparison of four large language models responding to reassurance-seeking behavior in emotional distress scenarios, examining whether general-purpose models fall into the clinically recognized reassurance trap.