Papers with dense model versions

1 papers
Query-focused Referentiability Learning for Zero-shot Retrieval (2025.naacl-long)

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Challenge: Existing dense representations have shown limitations in zero-shot scenarios . however, passage representations fail to align with their gold queries .
Approach: They propose a query-focused concept of 'referentiable' which ensures passage representations are referenced by their gold queries.
Outcome: The proposed model outperforms existing models on the BEIR benchmark.

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