AI RESEARCH
Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts
arXiv CS.CL
•
ArXi:2605.06476v1 Announce Type: new In this work, we conduct an analysis to examine the consistency of Large Language Models (LLMs) with respect to their own generated responses in an emotionally-driven conversational context. Specifically, the text generated by LLM is framed as a query to the same model, and its responses are subsequently assessed. This is performed with three queries across two dimensions of extreme and moderate emotions.