28 citations · 29 across the 5 of their papers we have counts for
5 papers
Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition
Jule Valendo Halim, Siyi Wang, Hong Jia +1
Emotional intelligence in conversational AI is crucial across domains like human-computer interaction. While numerous models have been developed, they often overlook the complexity…
MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation
Amaan Izhar, Nurul Japar, Norisma Idris +1
Medical image reporting (MIR) aims to generate structured clinical descriptions from radiological images. Existing methods struggle with fine-grained feature extraction, multimodal…
Scaling Auditory Cognition via Test-Time Compute in Audio Language Models
Ting Dang, Yan Gao, Hong Jia
Large language models (LLMs) have shown exceptional versatility in natural language processing, prompting recent efforts to extend their multimodal capabilities to speech processin…
Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health
Yongquan Hu, Shuning Zhang, Ting Dang +4
Integrating physiological signals such as electroencephalogram (EEG), with other data such as interview audio, may offer valuable multimodal insights into psychological states or n…
Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction
Jingyao Wu, Ting Dang, Vidhyasaharan Sethu +1
There has been a significant focus on modelling emotion ambiguity in recent years, with advancements made in representing emotions as distributions to capture ambiguity. However, t…