3 citations · 3 across the 2 of their papers we have counts for
2 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…