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Found 7 papers, 4 papers with code
How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data
Zero-shot translation aims to translate between language pairs not seen during training in Multilingual Machine Translation (MMT) and is largely considered an open problem.
Multilingual k-Nearest-Neighbor Machine Translation
k-nearest-neighbor machine translation has demonstrated remarkable improvements in machine translation quality by creating a datastore of cached examples.
UvA-MT's Participation in the WMT23 General Translation Shared Task
This paper describes the UvA-MT's submission to the WMT 2023 shared task on general machine translation.
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens
We argue that translation quality alone is not a sufficient metric for measuring knowledge transfer in multilingual neural machine translation.
Towards a general purpose machine translation system for Sranantongo
Machine translation for Sranantongo (Sranan, srn), a low-resource Creole language spoken predominantly in Surinam, is virgin territory.
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
This large and diverse collection of tasks enables rigorous benchmarking of cross-task generalization under instructions -- training models to follow instructions on a subset of tasks and evaluating them on the remaining unseen ones.
Conditional Image Generation and Manipulation for User-Specified Content
This can be done by conditioning the model on additional information.
