Large volumes of text data have contributed significantly to the develop...
Recently, InPars introduced a method to efficiently use large language m...
Bi-encoders and cross-encoders are widely used in many state-of-the-art
...
Recent work has shown that small distilled language models are strong
co...
The information retrieval community has recently witnessed a revolution ...
To understand and infer meaning in language, neural models have to learn...
To provide AI researchers with modern tools for dealing with the explosi...
Recent works have shown that Neural Machine Translation (NMT) models ach...
Neural Machine Translation has achieved state-of-the-art performance for...
Neural Machine Translation (NMT) has been widely used in recent years wi...
Distributed word representations are widely used for modeling words in N...
The quality of a Neural Machine Translation system depends substantially...