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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