Papers with full-dataset learning scenarios
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment (2023.findings-emnlp)
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| Challenge: | Existing cross-lingual transfer methods that use labeled data and linguistic resources would consume excessive resources for a large number of languages. |
| Approach: | They propose a parameter-efficient cross-lingual transfer learning framework that utilizes a translation-based alignment method to mitigate multilingual disparities. |
| Outcome: | The proposed framework reduces disparities among languages and improves cross-lingual transfer results in low-resource scenarios while keeping and fine-tuning only a small number of parameters. |