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P-Tailor: Customizing Personality Traits for Language Models via Mixture of Specialized LoRA Experts
June 19, 2024, 4:42 a.m. | Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He
cs.CL updates on arXiv.org arxiv.org
Abstract: Personalized large language models (LLMs) have attracted great attention in many applications, such as intelligent education and emotional support. Most work focuses on controlling the character settings based on the profile (e.g., age, skill, experience, and so on). Conversely, the psychological theory-based personality traits with implicit expression and behavior are not well modeled, limiting their potential application in more specialized fields such as the psychological counseling agents. In this paper, we propose a mixture of …
abstract age applications arxiv attention cs.cl education experience experts intelligent language language models large language large language models llms lora personality personalized profile skill support theory type via work
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