Submodular maximization arises in many applications, and has attracted a...
Evolutionary algorithms (EAs) have been widely and successfully applied ...
Pretrained language models (PLMs) have shown marvelous improvements acro...
Pretrained language models (PLMs) have shown marvelous improvements acro...
Dialogue summarization aims to condense a given dialogue into a simple a...
Massively multi-task learning with large language models has recently ma...
Knowledge distillation (KD) has been widely used for model compression a...
Subset selection, which aims to select a subset from a ground set to max...
Evolutionary algorithms (EAs) have been widely used to solve multi-objec...
In real-world optimization tasks, the objective (i.e., fitness) function...
Evolutionary algorithms (EAs) have found many successful real-world
appl...
In this study, we first investigate a novel capsule network with dynamic...
In noisy evolutionary optimization, sampling is a common strategy to dea...
In many real-world optimization problems, the objective function evaluat...