Papers with contrastive solution

1 papers
Effective Contrastive Weighting for Dense Query Expansion (2023.acl-long)

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Challenge: Verbatim queries that do not adequately express the user's search intent are often lexical inadequacies.
Approach: They propose a contrastive weighting model that learns to select the most useful expansion embeddings for semantic search.
Outcome: The proposed model outperforms existing methods while maintaining its efficiency.

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