Crafting the Path: Robust Query Rewriting for Information Retrieval
Ingeol Baek, Jimin Lee, Joonho Yang, Hwanhee Lee

TL;DR
This paper introduces Crafting the Path, a structured query rewriting method that enhances information retrieval by reducing reliance on LLM internal knowledge and improving accuracy, especially in less familiar domains.
Contribution
The paper presents a novel three-step query rewriting approach that outperforms existing methods and is less dependent on LLM internal knowledge.
Findings
Outperforms previous rewriting methods in various domains.
Reduces factual inaccuracies in generated queries.
Enhances retrieval-augmented generation performance.
Abstract
Query rewriting aims to generate a new query that can complement the original query to improve the information retrieval system. Recent studies on query rewriting, such as query2doc, query2expand and querey2cot, rely on the internal knowledge of Large Language Models (LLMs) to generate a relevant passage to add information to the query. Nevertheless, the efficacy of these methodologies may markedly decline in instances where the requisite knowledge is not encapsulated within the model's intrinsic parameters. In this paper, we propose a novel structured query rewriting method called Crafting the Path tailored for retrieval systems. Crafting the Path involves a three-step process that crafts query-related information necessary for finding the passages to be searched in each step. Specifically, the Crafting the Path begins with Query Concept Comprehension, proceeds to Query Type…
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Taxonomy
TopicsAdvanced Database Systems and Queries · Semantic Web and Ontologies · Data Management and Algorithms
