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Showing 1 to 1 of 1 for “"Modular Fine-Tuning"”.
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Efficient and Composable Adaptation for Cross-Lingual Transfer
Parameter-efficient fine-tuning (PEFT) has emerged as a important technique for moderating the growing cost of fine-tuning state-of-the-art pre-trained language models. The modular properties of some PEFT techniques, such as reusability, composability and resistance to overfitting, lend them to …