53 citations · 54 across the 4 of their papers we have counts for
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cs.CL2023
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints
Yujin Baek, Koanho Lee, Dayeon Ki +3
Lexically-constrained NMT (LNMT) aims to incorporate user-provided terminology into translations. Despite its practical advantages, existing work has not evaluated LNMT models unde…
cs.LG2023★ 1 cited
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
Hojoon Lee, Koanho Lee, Dongyoon Hwang +3
Recently, unsupervised representation learning (URL) has improved the sample efficiency of Reinforcement Learning (RL) by pretraining a model from a large unlabeled dataset. The un…