On a windowed financial-filing corpus, untuned reciprocal rank fusion is the best tested retriever, and lightweight per-query weighting routers fail to beat a fixed equal-weight blend.
Query-Adaptive Hybrid Search,
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Evidence-Unit Fairness and the Limits of Query-Adaptive Sparse-Dense Fusion in Financial Document Retrieval
On a windowed financial-filing corpus, untuned reciprocal rank fusion is the best tested retriever, and lightweight per-query weighting routers fail to beat a fixed equal-weight blend.