4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2022
The RoyalFlush System for the WMT 2022 Efficiency Task
Bo Qin, Aixin Jia, Qiang Wang +4
This paper describes the submission of the RoyalFlush neural machine translation system for the WMT 2022 translation efficiency task. Unlike the commonly used autoregressive transl…
cs.CL2022★ 3 cited
Hybrid-Regressive Neural Machine Translation
Qiang Wang, Xinhui Hu, Ming Chen
In this work, we empirically confirm that non-autoregressive translation with an iterative refinement mechanism (IR-NAT) suffers from poor acceleration robustness because it is mor…
cs.CL2022★ 4 cited
Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation
Qiang Wang, Rongxiang Weng, Ming Chen
K-Nearest Neighbor Neural Machine Translation (kNN-MT) successfully incorporates external corpus by retrieving word-level representations at test time. Generally, kNN-MT borrows th…