Instead of using a common distance metric such as cosine similarity, we adopt the cross-domain similarity local scaling (CSLS) metric (Lample et al., 2018), which is designed to address the hubness problem common to the shared embedding space (Dinu and Baroni, 2014).
denotes the mean cosine similarity between x i and its K neighbors y t .