arXiv cs.CL· Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Shoaib Jameel·· 10 小时前AI 评分22
HiCAP：基于人格的分层文化适应对话生成框架
HiCAP: Hierarchical Cultural Adaptation via Personality for Dialogue Generation
AI 导读
HiCAP 是一个将人格特质融入文化适应对话生成的新框架，通过人格条件控制机制先对齐文化语调、再按个体人格属性细化语言表达与内容。模型结合监督微调与指令微调，并借助动态指令模板和多智能体演示捕捉文化与人格的多样组合。在 CulturalPersonas 和 CPED 上的实验显示，HiCAP 在多项对话生成指标上取得最强整体表现。
正文 · 原文
Abstract:Cultural adaptation in dialogue systems refers to the ability to generate responses that conform to linguistic norms and social expectations across different cultures. However, existing dialogue generation approaches pay limited attention to the role of personality in shaping cultural expression and communication style. We therefore propose HiCAP, a novel framework that integrates personality traits into culturally adaptive dialogue generation. HiCAP employs a personality-conditioned control mechanism that hierarchically modulates response style by first aligning it with the cultural tone and then refining linguistic expression and content according to individual personality attributes. To embed these factors, the model combines supervised fine-tuning and instruction-based tuning, supported by dynamic instruction templates and multi-agent demonstrations to capture diverse combinations of culture and personality. Experiments on CulturalPersonas and CPED show that HiCAP achieves the strongest overall performance across various dialogue generation metrics, demonstrating effective cultural adaptability and personality modelling.
| Subjects: | Computation and Language (cs.CL); Machine Learning (cs.LG) |
| Cite as: | arXiv:2611.13207 [cs.CL] |
| (or arXiv:2611.13207v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2611.13207 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Lingzhi Shen [view email]
[v1]
Mon, 9 Nov 2026 20:30:26 UTC (26,109 KB)
来源：arXiv cs.CL · arxiv.org