8 citations · 16 across the 6 of their papers we have counts for
3 papers · 1 filter
Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition
Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng +6
Personality recognition has traditionally been constrained by theory-dependent formulations, where models are trained to fit predefined psychological taxonomies rather than uncover…
Cross-Lingual Attention Distillation with Personality-Informed Generative Augmentation for Multilingual Personality Recognition
Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng +3
While significant work has been done on personality recognition, the lack of multilingual datasets remains an unresolved challenge. To address this, we propose ADAM (Cross-Lingual…
Prompting-in-a-Series: Psychology-Informed Contents and Embeddings for Personality Recognition With Decoder-Only Models
Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng +3
Large Language Models (LLMs) have demonstrated remarkable capabilities across various natural language processing tasks. This research introduces a novel "Prompting-in-a-Series" al…