Papers by Ashley Wu
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings (2022.emnlp-main)
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| Challenge: | mSimCSE can learn high-quality universal cross-lingual sentence embeddings without any parallel data. |
| Approach: | They propose a new language-based sentence embedding system that extends SimCSE to multilingual settings. |
| Outcome: | The proposed method improves existing methods on retrieval and multilingual STS tasks. |