Personality Annotation

Personality annotation in AI focuses on imbuing large language models (LLMs) with distinct personality traits, aiming to create more engaging and realistic interactions. Current research explores methods like fine-tuning LLMs with specialized modules (e.g., Mixture of Experts) or directly optimizing models for specific personality frameworks (e.g., Big Five, MBTI), often leveraging newly created datasets of personality-annotated text and conversations. This work is significant for advancing personalized AI applications, such as chatbots and virtual assistants, and for providing new tools to study human-computer interaction and the psychological impact of AI.