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ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness
March 28, 2024, 4:48 a.m. | Yufei Tao, Ameeta Agrawal, Judit Dombi, Tetyana Sydorenko, Jung In Lee
cs.CL updates on arXiv.org arxiv.org
Abstract: Recent advances in interactive large language models like ChatGPT have revolutionized various domains; however, their behavior in natural and role-play conversation settings remains underexplored. In our study, we address this gap by deeply investigating how ChatGPT behaves during conversations in different settings by analyzing its interactions in both a normal way and a role-play setting. We introduce a novel dataset of broad range of human-AI conversations annotated with user motives and model naturalness to examine …
abstract advances analysis arxiv behavior chatgpt conversation conversations cs.cl cs.hc dataset domains gap however interactive language language models large language large language models natural role study type
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