Papers with mutual verification process

1 papers
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion (2024.naacl-long)

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Challenge: Existing methods for query expansion lack corpus-specific knowledge and cost.
Approach: They propose a query-query-document generation method that leverages large language models for mutual verification to produce diverse sub-queries and corresponding documents.
Outcome: The proposed method is fully zero-shot and extensive experiments on three public benchmark datasets demonstrate its effectiveness over existing methods.

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