8 citations · 14 across the 9 of their papers we have counts for
5 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…
EffiMiniVLM: A Compact Dual-Encoder Regression Framework
Yin-Loon Khor, Yi-Jie Wong, Yan Chai Hum
Predicting product quality from multimodal item information is critical in cold-start scenarios, where user interaction history is unavailable and predictions must rely on images a…
On the Codesign of Scientific Experiments and Industrial Systems
Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84
The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…
SiMiC: Context-Aware Silicon Microstructure Characterization Using Attention-Based Convolutional Neural Networks for Field-Emission Tip Analysis
Jing Jie Tan, Rupert Schreiner, Matthias Hausladen +8
Accurate characterization of silicon microstructures is essential for advancing microscale fabrication, quality control, and device performance. Traditional analysis using Scanning…