105 citations · 349 across the 67 of their papers we have counts for
5 papers · 1 filter
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
Facilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help?
Yongle Zhang, Dennis Asamoah Owusu, Marine Carpuat +1
Global teams frequently consist of language-based subgroups who put together complementary information to achieve common goals. Previous research outlines a two-step work communica…
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.…
Can Synthetic Translations Improve Bitext Quality?
Eleftheria Briakou, Marine Carpuat
Synthetic translations have been used for a wide range of NLP tasks primarily as a means of data augmentation. This work explores, instead, how synthetic translations can be used t…