Recent advancements in instructing Large Language Models (LLMs) to utili...
Conversational AI systems such as Alexa need to understand defective que...
Conversational understanding is an integral part of modern intelligent
d...
While matrix variate regression models have been studied in many existin...
The paper considers a Mixture Multilayer Stochastic Block Model (MMLSBM)...
Query rewriting (QR) systems are widely used to reduce the friction caus...
Due to its potential wide applications in video surveillance and other
c...
Query rewriting (QR) is an increasingly important technique to reduce
cu...
Knowledge distillation is typically conducted by training a small model ...
Partial person re-identification (ReID) is a challenging task because on...
Voice-controlled house-hold devices, like Amazon Echo or Google Home, fa...
Holistic person re-identification (ReID) has received extensive study in...
Many current successful Person Re-Identification(ReID) methods train a m...
In this paper, we propose a novel method called AlignedReID that extract...
The goal of semantic parsing is to map natural language to a machine
int...