April 2, 2024, 7:52 p.m. | Ji-Eun Han, Jun-Seok Koh, Hyeon-Tae Seo, Du-Seong Chang, Kyung-Ah Sohn

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.00930v1 Announce Type: new
Abstract: We present a novel end-to-end personality-based synthetic dialogue data generation pipeline, specifically designed to elicit responses from large language models via prompting. We design the prompts to generate more human-like dialogues considering real-world scenarios when users engage with chatbots. We introduce PSYDIAL, the first Korean dialogue dataset focused on personality-based dialogues, curated using our proposed pipeline. Notably, we focus on the Extraversion dimension of the Big Five personality model in our research. Experimental results indicate …

arxiv cs.cl dialogue language language models large language large language models personality synthetic type

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