output
20122026
most citedTemporal Smearing of Transient Radio Sources by the Intergalactic Medium

110 citations

47 papers

cs.CL2026

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…

cs.CL2026★ 4 cited

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…

cs.CV2026★ 1 cited

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…

cs.CV2025★ 3 cited

Siamese-Driven Optimization for Low-Resolution Image Latent Embedding in Image Captioning

Jing Jie Tan, Anissa Mokraoui, Ban-Hoe Kwan +2

Image captioning is essential in many fields including assisting visually impaired individuals, improving content management systems, and enhancing human-computer interaction. Howe…

cs.CL2025★ 8 cited

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…

gr-qc2025

Scalar-Tensor Symmetric Teleparallel Gravity: Reconstruct the Cosmological History with a Steep Potential

Ghulam Murtaza, Avik De, Andronikos Paliathanasis

Within the framework of scalar-non-metricity gravity, we introduce a steep potential together with a power-law coupling function and investigate whether the acceleration phases of…