Dynamic Generation of Personalities with Large Language Models

arXiv:2404.07084v1 Announce Type: new
Abstract: In the realm of mimicking human deliberation, large language models (LLMs) show promising performance, thereby amplifying the importance of this research area. Deliberation is influenced by both logic and personality. However, previous studies predominantly focused on the logic of LLMs, neglecting the exploration of personality aspects. In this work, we introduce Dynamic Personality Generation (DPG), a dynamic personality generation method based on Hypernetworks. Initially, we embed the Big Five personality theory into GPT-4 to form …

abstract arxiv cs.ai cs.cl dynamic exploration however human importance language language models large language large language models llms logic performance personalities personality realm research show studies type