3 papers
cs.CL2022
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…
cs.HC2022
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…
cs.CL2022
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…