{"ID":2857438,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.09158","arxiv_id":"2510.09158","title":"Augmenting Dialog with Think-Aloud Utterances for Modeling Individual Personality Traits by LLM","abstract":"This study proposes augmenting dialog data with think-aloud utterances (TAUs) for modeling individual personalities in text chat by LLM. TAU is a verbalization of a speaker's thought before articulating the utterance. We expect \"persona LLMs\" trained with TAU-augmented data can mimic the speaker's personality trait better. We tested whether the trained persona LLMs obtain the human personality with respect to Big Five, a framework characterizing human personality traits from five aspects. The results showed that LLMs trained with TAU-augmented data more closely align to the speakers' Agreeableness and Neuroticism of Big Five than those trained with original dialog data. We also found that the quality of TAU-augmentation impacts persona LLM's performance.","short_abstract":"This study proposes augmenting dialog data with think-aloud utterances (TAUs) for modeling individual personalities in text chat by LLM. TAU is a verbalization of a speaker's thought before articulating the utterance. We expect \"persona LLMs\" trained with TAU-augmented data can mimic the speaker's personality trait bet...","url_abs":"https://arxiv.org/abs/2510.09158","url_pdf":"https://arxiv.org/pdf/2510.09158v2","authors":"[\"Seiya Ishikura\",\"Hiroaki Yamada\",\"Tatsuya Hiraoka\",\"Hiroaki Yamada\",\"Takenobu Tokunaga\"]","published":"2025-10-10T09:03:31Z","proceeding":"cs.CL","tasks":"[\"cs.CL\"]","methods":"[\"Large Language Model\"]","has_code":false}