1 citations · 1 across the 3 of their papers we have counts for
3 papers
Generating Diverse Translation with Perturbed kNN-MT
Yuto Nishida, Makoto Morishita, Hidetaka Kamigaito +1
Generating multiple translation candidates would enable users to choose the one that satisfies their needs. Although there has been work on diversified generation, there exists roo…
knn-seq: Efficient, Extensible kNN-MT Framework
Hiroyuki Deguchi, Hayate Hirano, Tomoki Hoshino +3
k-nearest-neighbor machine translation (kNN-MT) boosts the translation quality of a pre-trained neural machine translation (NMT) model by utilizing translation examples during deco…
Code Transpilation for Hardware Accelerators
Yuto Nishida, Sahil Bhatia, Shadaj Laddad +3
DSLs and hardware accelerators have proven to be very effective in optimizing computationally expensive workloads. In this paper, we propose a solution to the challenge of manually…