新闻
K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations
arXiv cs.AI · 发布于 · 阅读约3分钟
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- 发生了什么
- Researchers released K-Bench, a benchmark testing 125 LLM configurations across 33 base models on high-risk mental health conversations involving suicide, self-harm, and domestic violence.
- 为何重要
- Engineers building or deploying mental health chatbots need this to evaluate whether their models handle crisis situations safely and appropriately.
- 注意
- The benchmark uses synthetic conversations and a GPT-4o judge, not real clinical interactions, so real-world performance may differ from benchmark scores.
- llm
- language model
- eval
- benchmark
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