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Query2doc: Query Expansion with Large Language Models Liang Wang and Nan Yang and Furu Wei Microsoft Research wangliang,nanya,fuwei@microsoft.comAbstract This paper introduces a simple yet effective
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How to fill out query2doc query expansion with

01
To fill out query2doc query expansion, follow these steps:
02
Open the query2doc query expansion tool.
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Enter your initial query in the 'Query' field.
04
Choose the appropriate expansion method from the available options.
05
Specify any additional parameters or options required for the expansion.
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Click on the 'Expand' button.
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Wait for the expansion process to complete.
08
Review the expanded query results.
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Optionally, refine or modify the expanded query if necessary.
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Save or export the expanded query for further use.

Who needs query2doc query expansion with?

01
Query2doc query expansion is useful for a variety of individuals or organizations, including:
02
- Researchers or information professionals looking to enhance the effectiveness of their search queries.
03
- Content creators or writers who need additional keywords or terms to improve the relevance of their content.
04
- Web developers or SEO specialists interested in optimizing website search functionality by expanding user queries.
05
- Data analysts or data scientists working on information retrieval tasks that require query expansion.
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- Anyone who wants to improve the retrieval accuracy and precision of search results.
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Query2doc query expansion is a process that enhances the initial search queries by adding relevant terms or phrases to increase the likelihood of retrieving accurate documents.
Typically, entities or individuals who are using query2doc for research or documentation purposes may be required to file to improve their search results.
Filling out query2doc involves providing the original query and selecting relevant terms or using tools to generate suggested expansions based on the content of the database.
The purpose of query2doc query expansion is to improve the precision and recall of search results by broadening the query to include related terms that might not have been included initially.
The information required typically includes the original query, the expanded query terms, and any user-defined parameters that guide the expansion process.
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