The remarkable advancements in large language models (LLMs) have
signifi...
Active learning (AL) is a human-and-model-in-the-loop paradigm that
iter...
Temporal concept drift refers to the problem of data changing over time....
In recent years, active learning has been successfully applied to an arr...
Various efforts in the Natural Language Processing (NLP) community have ...
Common acquisition functions for active learning use either uncertainty ...
Masked language modeling (MLM), a self-supervised pretraining objective,...
Active Learning (AL) is a method to iteratively select data for annotati...
In Natural Language Processing (NLP), pre-trained language models (LMs) ...
In this paper, we present a novel approach for incorporating external
kn...