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SCoRD transforms LLM-based recommendation systems by enabling retrievers to adapt intelligently to user intent without the heavy cost of frequent LLM updates.
Self-attention in recommendation systems overlooks crucial item relations, but PRISM's multi-perspective approach reveals hidden user preferences that boost performance.
