Papers by Soujanya Abbaraju
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer (2023.eacl-main)
Copied to clipboard
| Challenge: | Zero-shot cross-lingual transfer has been shown to be sub-optimal across low-resource languages due to the skew in resource distribution in languages. |
| Approach: | They propose to jointly reduce feature incongruity between the source and target language and increase generalization capabilities of pre-trained multilingual transformers. |
| Outcome: | Empirical results show that the proposed approach outperforms the standard zero-shot fine-tuning method on multiple datasets across all languages using only unlabeled instances in the target language. |