The impressive generalization performance of modern neural networks is
a...
Large language models (LLMs) have led to a series of breakthroughs in na...
Pretrained large language models (LLMs) are strong in-context learners t...
In this article we report a case study of a Language and Culture-oriente...
Knowledge distillation has proven to be an effective technique in improv...
Knowledge distillation is widely used as a means of improving the perfor...
Graph neural networks (GNNs) have emerged as a powerful approach for sol...
Document and discourse segmentation are two fundamental NLP tasks pertai...
Label smoothing is commonly used in training deep learning models, where...
Rumour stance classification, defined as classifying the stance of speci...
Social media tend to be rife with rumours while new reports are released...