566 citations · 688 across the 11 of their papers we have counts for
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Rank-One Editing of Encoder-Decoder Models
Vikas Raunak, Arul Menezes
Large sequence to sequence models for tasks such as Neural Machine Translation (NMT) are usually trained over hundreds of millions of samples. However, training is just the origin…
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models
Vikas Raunak, Matt Post, Arul Menezes
In this work, we present some recommendations on the evaluation of state-of-the-art generative models for constrained generation tasks. The progress on generative models has been r…
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing
Yihan Wu, Junliang Guo, Xu Tan +7
Video dubbing aims to translate the original speech in a film or television program into the speech in a target language, which can be achieved with a cascaded system consisting of…
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks
Vikas Raunak, Arul Menezes
Memorization presents a challenge for several constrained Natural Language Generation (NLG) tasks such as Neural Machine Translation (NMT), wherein the proclivity of neural models…
SALTED: A Framework for SAlient Long-Tail Translation Error Detection
Vikas Raunak, Matt Post, Arul Menezes
Traditional machine translation (MT) metrics provide an average measure of translation quality that is insensitive to the long tail of behavioral problems in MT. Examples include t…