Recent works attribute the capability of in-context learning (ICL) in la...
In-context learning (ICL) performs tasks by prompting a large language m...
Scaling up language models has led to unprecedented performance gains, b...
Pre-trained language models encode undesirable social biases, which are
...
Masked language models like BERT can perform text classification in a
ze...
Pre-trained masked language models successfully perform few-shot learnin...
The growing size of neural language models has led to increased attentio...
Word sense disambiguation (WSD) is a long-standing problem in natural
la...
The combination of multilingual pre-trained representations and cross-li...
In current hate speech datasets, there exists a high correlation between...
Given the complexity of combinations of tasks, languages, and domains in...
Despite recent advances in natural language processing and other languag...
Translation to or from low-resource languages LRLs poses challenges for
...
It has been previously noted that neural machine translation (NMT) is ve...
Cross-lingual transfer, where a high-resource transfer language is used ...