A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health

arXiv:2403.09705v1 Announce Type: new
Abstract: Understanding the conversation abilities of Large Language Models (LLMs) can help lead to its more cautious and appropriate deployment. This is especially important for safety-critical domains like mental health, where someone's life may depend on the exact wording of a response to an urgent question. In this paper, we propose a novel framework for evaluating the nuanced conversation abilities of LLMs. Within it, we develop a series of quantitative metrics developed from literature on using …

abstract arxiv conversation cs.ai cs.cl cs.et deployment domains evaluation framework health language language models large language large language models life llms mental health novel safety safety-critical the conversation type understanding