Personality Prediction from Life Stories using Language Models
This study leverages NLP techniques for personality assessment using text data (narrative interview) > 2000 tokens, proposing a hybrid approach integrating contextual embeddings and RNNs for efficient handling of long-range dependencies, enabling improved accuracy, efficiency, and interpretability compared to state-of-the-art models like LLaMA and Longformer.
Aug 25, 2025
Language-Based AI Modeling of Five-Factor Model Traits and Personality Pathology from Life Narrative Interviews
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Jul 16, 2025