Papers with passage representation

3 papers
DAPR: A Benchmark on Document-Aware Passage Retrieval (2024.acl-long)

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Challenge: Recent approaches to retrieve short passages are limited due to expensive operations such as selfattention.
Approach: They propose to use a task to find passages from a large corpus of documents . they extend the SoTA passage retrievers with document context to achieve this task .
Outcome: The proposed task is called Document-Aware Passage Retrieval (DAPR) it performs best on easy and hard queries, but fails on hard queries requiring document-context understanding .
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.
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval (2023.acl-long)

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Challenge: Dense retrieval has shown promise in the first-stage retrieval process when trained on in-domain labeled datasets.
Approach: They propose a method to capture matching signal to improve generalization of dense retrieval by capturing matching signal between two texts.
Outcome: The proposed method can be combined with different training methods to improve generalization ability without additional inference overhead and target domain data.

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