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20222026
most citedUnlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation

1 citations · 2 across the 5 of their papers we have counts for

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cs.CL2023★ 1 cited

Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation

Shravan Nayak, Surangika Ranathunga, Sarubi Thillainathan +6

NMT systems trained on Pre-trained Multilingual Sequence-Sequence (PMSS) models flounder when sufficient amounts of parallel data is not available for fine-tuning. This specificall…