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Query-Aware Token Budgeting for Efficient Late-Interaction Visual Document Retrieval
Late-interaction visual document retrievers preserve fine-grained page evidence by storing many token embeddings per page, but the resulting storage and query-time interaction costs make large-scale deployment expensive. Pooling document tokens before indexing offers a natural remedy, yet static poo
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