The recent surge of generative AI has been fueled by the generative powe...
While diffusion models have achieved great success in generating continu...
Recently, non-autoregressive (NAR) neural machine translation models hav...
This paper describes the Volctrans' submission to the WMT21 news transla...
Machine Translation Quality Estimation (QE) is a task of predicting the
...
Sequence-to-sequence (seq2seq) problems such as machine translation are
...
It is well accepted that the choice of token vocabulary largely affects ...
It is well-understood that different algorithms, training processes, and...
Document-level machine translation manages to outperform sentence level
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Natural Language Inference (NLI) aims to determine the logic relationshi...
Relation detection is a core step in many natural language process
appli...
Previous studies have shown that neural machine translation (NMT) models...
Previous studies show that incorporating external information could impr...
Existing neural machine translation systems do not explicitly model what...
In the encoder-decoder architecture for neural machine translation (NMT)...