We investigate various prompting strategies for enhancing personalized
r...
Multi-agent dynamical systems refer to scenarios where multiple units
in...
We propose a model-data asymptotic-preserving neural network(MD-APNN) me...
In this work, we share our experience on tele-knowledge pre-training for...
This paper deals with the problem of learning the probabilities of causa...
The unit selection problem is to identify a group of individuals who are...
In knowledge graph completion (KGC), predicting triples involving emergi...
This review systematizes the emerging literature for causal inference us...
Graph convolutional networks (GCNs) have recently received wide attentio...
In-memory data management systems, such as key-value store, have become ...