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

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cs.CL2025

Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation

Sarubi Thillainathan, Songchen Yuan, En-Shiun Annie Lee +2

Fine-tuning multilingual sequence-to-sequence large language models (msLLMs) has shown promise in developing neural machine translation (NMT) systems for low-resource languages (LR…