Machine learning algorithms have become ubiquitous in a number of
applic...
Large multimodal language models (LMMs) have achieved significant succes...
Although pre-trained language models (PLMs) have recently advanced the
r...
Although large language models (LLMs) have achieved excellent performanc...
3D Semantic Scene Completion (SSC) can provide dense geometric and seman...
Understanding mathematical questions effectively is a crucial task, whic...
We introduce an explorative active learning (AL) algorithm based on Gaus...
This paper aims to advance the mathematical intelligence of machines by
...
Nowadays, pretrained language models (PLMs) have dominated the majority ...
Compared with the domain-specific model, the vision-language pre-trainin...
Ophthalmologists have used fundus images to screen and diagnose eye dise...
Lidar point cloud distortion from moving object is an important problem ...
Most real-time autonomous robot applications require a robot to traverse...
An accurate and computationally efficient SLAM algorithm is vital for mo...
With the development of Internet of Things (IoT), data is increasingly
a...