k-Nearest-Neighbor Machine Translation (kNN-MT) becomes an important research
direction of NMT in recent years. Its main idea is to retrieve useful key-value pairs from an …

Conventional knowledge distillation (KD) approaches are commonly employed to compress
neural machine translation (NMT) models. However, they only obtain one lightweight …

Using large language models (LLMs) for machine translation via in-context learning (ICL)
has become an interesting research direction of machine translation (MT) in recent years. Its …