reciprocal-rank-fusion-f5a1c9eb·1 events·first seen Aliases: Reciprocal Rank Fusion
A BioASQ Task 14B 2026 system paper describes two core design decisions: a cost-pragmatic re-retrieval policy using a BGE cross-encoder quality gate, and a decomposition of multi-model ensemble lift into selection and fusion components. The retrieval pipeline unions dense (BGE + BM25 + RRF) and agent-driven PubMed/Europe PMC/iCite pipelines, achieving R@200 = 99.3% on the BioASQ-13b archive. The team places first on the combined-exact aggregate on three of eight leaderboard tracks and first on Phase B b3 ideal. GPT-5.5 solo retains list-F1 lead over a synonym-union resolver due to precision trade-offs.