Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation

no code implementations • 5 Apr 2024 • Tong Su, Xin Peng, Sarubi Thillainathan, David Guzmán, Surangika Ranathunga, En-Shiun Annie Lee

Parameter-efficient fine-tuning (PEFT) methods are increasingly vital in adapting large-scale pre-trained language models for diverse tasks, offering a balance between adaptability and computational efficiency.

Computational Efficiency Machine Translation +2