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cs.CL2022★ 4 cited
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
Ahmet Üstün, Arianna Bisazza, Gosse Bouma +2
Massively multilingual models are promising for transfer learning across tasks and languages. However, existing methods are unable to fully leverage training data when it is availa…
cs.CL2022
When does Parameter-Efficient Transfer Learning Work for Machine Translation?
Ahmet Üstün, Asa Cooper Stickland
Parameter-efficient fine-tuning methods (PEFTs) offer the promise of adapting large pre-trained models while only tuning a small number of parameters. They have been shown to be co…