17 citations · 21 across the 8 of their papers we have counts for
8 papers
In-context Examples Selection for Machine Translation
Sweta Agrawal, Chunting Zhou, Mike Lewis +2
Large-scale generative models show an impressive ability to perform a wide range of Natural Language Processing (NLP) tasks using in-context learning, where a few examples are used…
Controlling Translation Formality Using Pre-trained Multilingual Language Models
Elijah Rippeth, Sweta Agrawal, Marine Carpuat
This paper describes the University of Maryland's submission to the Special Task on Formality Control for Spoken Language Translation at \iwslt, which evaluates translation from En…
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models
Sweta Agrawal, Marine Carpuat
We propose a framework for training non-autoregressive sequence-to-sequence models for editing tasks, where the original input sequence is iteratively edited to produce the output.…
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
Eleftheria Briakou, Sweta Agrawal, Joel Tetreault +1
While the field of style transfer (ST) has been growing rapidly, it has been hampered by a lack of standardized practices for automatic evaluation. In this paper, we evaluate leadi…
A Review of Human Evaluation for Style Transfer
Eleftheria Briakou, Sweta Agrawal, Ke Zhang +2
This paper reviews and summarizes human evaluation practices described in 97 style transfer papers with respect to three main evaluation aspects: style transfer, meaning preservati…
Assessing Reference-Free Peer Evaluation for Machine Translation
Sweta Agrawal, George Foster, Markus Freitag +1
Reference-free evaluation has the potential to make machine translation evaluation substantially more scalable, allowing us to pivot easily to new languages or domains. It has been…