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Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval
Dense retrieval systems are core components of modern search engines, recommendation platforms, and retrieval-augmented generation pipelines. They encode documents and queries into dense embeddings, enabling efficient semantic search via vector similarity. However, because document embeddings are co
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