8 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 8 cited
Extrapolating Large Language Models to Non-English by Aligning Languages
Wenhao Zhu, Yunzhe Lv, Qingxiu Dong +6
Existing large language models show disparate capability across different languages, due to the imbalance in the training data. Their performances on English tasks are often strong…
cs.CL2023★ 5 cited
kNN-BOX: A Unified Framework for Nearest Neighbor Generation
Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv +4
Augmenting the base neural model with a token-level symbolic datastore is a novel generation paradigm and has achieved promising results in machine translation (MT). In this paper,…
cs.CL2022
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation
Wenhao Zhu, Shujian Huang, Yunzhe Lv +2
kNN-MT presents a new paradigm for domain adaptation by building an external datastore, which usually saves all target language token occurrences in the parallel corpus. As a resul…