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Johns Hopkins University
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Document LoRA can recover up to 21 ROUGE-L points when context is scarce, redefining its role in memory architecture for question answering.
Attention-guided clustering slashes the storage costs of multi-vector document representations for retrieval across text, images, and video, often *improving* performance compared to uncompressed indexes.
