Large language models (LLMs) have showcased remarkable potential across
...
Search query classification, as an effective way to understand user inte...
Code generation is widely regarded as a key technique for elevating the
...
Although large language models have demonstrated impressive ability in c...
Triplet learning, i.e. learning from triplet data, has attracted much
at...
A proper code evaluation metric (CEM) profoundly impacts the evolution o...
This work is focused on the modelling of signal propagations in myelinat...
To achieve high availability and low latency, distributed data stores of...
Neural audio coding has shown very promising results recently in the
lit...
This paper presents PyTSK, a Python toolbox for developing Takagi-Sugeno...
We present an open-source toolbox, named MMRotate, which provides a cohe...
Current Knowledge Distillation (KD) methods for semantic segmentation of...
Abstract syntax trees (ASTs) play a crucial role in source code
represen...
This paper is concerned with a numerical solution to the scattering of a...
We present algorithms for computing the reduced Gröbner basis of the
van...
EEG signals are usually simple to obtain but expensive to label. Althoug...
Source code can be parsed into the abstract syntax tree (AST) based on
d...
Sleep staging based on electroencephalogram (EEG) plays an important rol...
Research and development of electroencephalogram (EEG) based brain-compu...
The paper is concerned with the three-dimensional electromagnetic scatte...
Consider the scattering of a time-harmonic elastic plane wave by a
bi-pe...
We study the relationship between certain Groebner bases for zero dimens...
Deep learning has made significant breakthroughs in many fields, includi...
Since its launch in 2011, Materials Genome Initiative (MGI) has drawn th...