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Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
Large Language Models (LLMs) have been increasingly employed for query expansion. However, their generative nature often undermines performance on complex multi-hop retrieval tasks by introducing irrelevant or noisy information. To address this challenge, we propose DeCoR (Decompose and Compress for
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