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RidgeRank: Efficient Visual Document Reranking via Score Fusion and a Shallow Linear Readout

Yang, Shubing et al.
arXiv (All) · Papers
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information-retrieval
Multimodal language models rerank visual document retrieval results accurately, but scoring every candidate page at full cost makes them slow. Some methods that compress these rerankers need relevance labels to regain accuracy, and they rank by the reranker score alone. RidgeRank measures how much r
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