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RSRank: Learning Relevance from Representational Shifts Adobe introduces a lightweight reranking framework that learns relevance from the representational shift a document induces in a query's internal state, filtering irrelevant content at a natural zero threshold. šŸ“ arxiv.org/abs/2606.17468
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As enterprises deploy RAG-based systems to provide grounded responses to user queries, reranking has become a critical component for the final filtering step that separates relevant from distracting o...
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RSRank: Learning Relevance from Representational Shifts
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