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
A Recommender System Architecture for University Curriculum Advising
This study proposes a goal-based agent recommender system for undergraduate students using a large language model, tailored to curriculum requirements, prerequisites, and student preferences. The system optimizes course selection, streamlines degree path exploration, and predicts enrollment metrics, reducing advisor workloads and promoting academic engagement, ultimately enhancing student success and increasing the overall academic achievement of the student body.
May 28, 2025