Papers by Xin-Qiang Cai

1 papers
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding (2024.eacl-long)

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Challenge: Recent trends in learning monolingual and multilingual sentence embeddings are based on contrastive learning (CL) among an anchor, one positive and multiple negative instances.
Approach: They propose to leverage multiple positives to improve learning of multilingual sentence embeddings by using an anchor, one positive, and multiple negative instances.
Outcome: The proposed approach improves retrieval, semantic similarity, and classification performance on unseen languages.

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