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Xetrieval: Explaining Dense Retrieval through Feature Elicitation

Cai, Zhixin et al.
arXiv (All) · Papers
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artificial-intelligenceinformation-retrieval
Dense retrieval enables effective semantic matching, yet the semantic factors underlying its relevance scores remain opaque. Sparse autoencoders (SAEs) support feature-level explanations by decomposing dense embeddings into sparse semantic features. However, the document semantics underlying a retri
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