Although pre-trained language models (PLMs) have recently advanced the
r...
Although large language models (LLMs) have achieved excellent performanc...
The full understanding of plasma disruption in tokamaks is currently lac...
To facilitate research on text generation, this paper presents a
compreh...
Disruption prediction has made rapid progress in recent years, especiall...
Predicting disruptions across different tokamaks is a great obstacle to
...
Nowadays, pretrained language models (PLMs) have dominated the majority ...
Owing to the continuous contributions by the Chinese NLP community, more...
In this paper, we introduce TextBrewer, an open-source knowledge distill...
Recurrent Neural Networks (RNN) are known as powerful models for handlin...
Machine Reading Comprehension (MRC) with multiple-choice questions requi...
Machine Reading Comprehension (MRC) has become enormously popular recent...
This paper describes the system which got the state-of-the-art results a...
We address the problem of data-driven image manipulation detection in th...
Machine Reading Comprehension (MRC) has become enormously popular recent...
Cloze-style queries are representative problems in reading comprehension...
Reading comprehension has embraced a booming in recent NLP research. Sev...