Recently, the fast development of Large Language Models (LLMs) such as
C...
Transformer-based sequential recommendation (SR) has been booming in rec...
Recent advancements in large language models (LLMs) have transformed the...
Existing research efforts for multi-interest candidate matching in
recom...
Contrastive learning (CL) benefits the training of sequential recommenda...
Accented speech recognition and accent classification are relatively
und...
The past ten years have witnessed the rapid development of text-based in...
Transformer-based models attain excellent results and generalize well wh...
Side information fusion for sequential recommendation (SR) aims to
effec...
Intent detection and slot filling are two main tasks in natural language...
Recently, the attention-enhanced multi-layer encoder, such as Transforme...
Spoken Language Understanding (SLU) is an essential part of the spoken
d...
Humanitarian disasters have been on the rise in recent years due to the
...
Deep learning has been widely used for hyperspectral pixel classificatio...