Papers with multilingual dense retrieval models
mAggretriever: A Simple yet Effective Approach to Zero-Shot Multilingual Dense Retrieval (2023.emnlp-main)
Copied to clipboard
| Challenge: | MLIR requires human annotations in multiple languages, making training labor-intensive. |
| Approach: | They propose a multilingual information retrieval model that leverages pre-trained multilingual transformers for dense retrieval. |
| Outcome: | Empirical results show that mAggretriever outperforms state-of-the-art models fine-tuned on English training data. |