Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation
Published in 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
In this paper, we conducted comprehensive empirical experiments with varying LRL domains and sizes to evaluate the performance of 8 PEFT methods with in total of 15 architectures using the SacreBLEU score.
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