2 citations · 2 across the 5 of their papers we have counts for
5 papers
Robust Diagram Reasoning: A Framework for Enhancing LVLM Performance on Visually Perturbed Scientific Diagrams
Minghao Zhou, Rafael Souza, Yaqian Hu +1
Large Language Models (LLMs) and their multimodal variants (LVLMs) hold immense promise for scientific and engineering applications, particularly in processing visual information l…
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings
Alexander Davis, Rafael Souza, Jia-Hao Lim
Automated interpretation of chest X-rays (CXR) is a critical task with the potential to significantly improve clinical workflow and patient care. While recent advances in multimoda…
Temporal Contrastive Learning for Video Temporal Reasoning in Large Vision-Language Models
Rafael Souza, Jia-Hao Lim, Alexander Davis
Temporal reasoning is a critical challenge in video-language understanding, as it requires models to align semantic concepts consistently across time. While existing large vision-l…
Enhancing AI-Driven Psychological Consultation: Layered Prompts with Large Language Models
Rafael Souza, Jia-Hao Lim, Alexander Davis
Psychological consultation is essential for improving mental health and well-being, yet challenges such as the shortage of qualified professionals and scalability issues limit its…
ConvBench: A Comprehensive Benchmark for 2D Convolution Primitive Evaluation
Lucas Alvarenga, Victor Ferrari, Rafael Souza +2
Convolution is a compute-intensive operation placed at the heart of Convolution Neural Networks (CNNs). It has led to the development of many high-performance algorithms, such as I…