K-Bench: clinician-calibrated benchmark for LLM safety in high-risk mental health chats

Researchers introduced K-Bench, a benchmark designed with clinician input to assess how large language models handle high-risk mental health conversations that escalate over time. The work addresses the limited understanding of LLM safety in these evolving support dialogues, where users increasingly turn for help. The benchmark provides a protected evaluation framework for measuring model performance in these sensitive settings.