Latest AI and machine learning research in medicare for healthcare professionals.
Deep learning based diagnostic AI systems based on medical images are starting to provide similar ...
Generating high-quality stories spanning thousands of tokens requires competency across a variety ...
Code translation migrates codebases across programming languages. Recently, large language models ...
We investigate a critical yet under-explored question in Large Vision-Language Models (LVLMs): Do ...
Background Telemedicine has the potential to provide secure and cost-effective healthcare at the t...
Investigating the public experience of urgent care facilities is essential for promoting community...
Recent advancements in autoregressive and diffusion models have led to strong performance in image...
This study addresses the technical bottlenecks in handling long text and the "hallucination" issue...
Population-based cancer registries (PBCRs) face a significant bottleneck in manually extracting da...
We introduce CHOrD, a novel framework for scalable synthesis of 3D indoor scenes, designed to crea...
Long COVID continues to challenge public health by affecting a considerable number of individuals ...
This study proposes a dynamic rule data mining algorithm based on an improved Transformer architec...
Classifying images with an interpretable decision-making process is a long-standing problem in com...
Long video generation remains a challenging and compelling topic in computer vision. Diffusion bas...
Visual instructions for long-horizon tasks are crucial as they intuitively clarify complex concept...
Methods to quantify uncertainty in predictions from arbitrary models are in demand in high-stakes ...
In personalized technology and psychological research, precisely detecting demographic features an...
Long Video Question Answering (LVQA) is challenging due to the need for temporal reasoning and lar...
From image to video understanding, the capabilities of Multi-modal LLMs (MLLMs) are increasingly p...
Smart factories enhance production efficiency and sustainability, but emergencies like human error...
Large language models (LLMs) are increasingly adopted in medical question-answering (QA) scenarios...