AI RESEARCH
PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement
arXiv CS.CL
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ArXi:2603.13796v1 Announce Type: new High dialogue engagement is a crucial indicator of an effective conversation. A reliable measure of engagement could help benchmark large language models, enhance the effectiveness of human-computer interactions, or improve personal communication skills. However, quantifying engagement is challenging, since it is subjective and lacks a "gold standard". This paper proposes PMIScore, an efficient unsupervised approach to quantify dialogue engagement.