Prompting-in-a-Series: Psychology-Informed Contents and Embeddings for Personality Recognition With Decoder-Only Models

This article, sourced from ArXiv, focuses on using psychological principles to improve personality recognition with decoder-only language models. The core idea revolves around 'Prompting-in-a-Series,' suggesting a novel approach to leverage psychological insights within the prompting process. The research likely explores how specific prompts, informed by psychological theories, can guide the model to better understand and predict personality traits. The use of embeddings further suggests an attempt to capture and represent personality-related information in a structured manner. The focus on decoder-only models indicates an interest in efficient and potentially more accessible architectures for this task.

• •Focuses on improving personality recognition using decoder-only models.
• •Employs 'Prompting-in-a-Series' approach, integrating psychological principles into prompts.
• •Utilizes embeddings to represent personality-related information.
• •Aims for efficient and potentially accessible architectures for personality recognition.