bge-b1c5ea1b·2 events·first seen Aliases: BGE
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.
A new arXiv paper introduces a route-specialized dual-adapter architecture for knowledge editing in LLMs, separating the concerns of writing edits (edit adapter) and suppressing them when irrelevant (locality adapter). A relevance router gates which adapter is applied, addressing the locality problem in memory-assisted editing. Evaluated on CounterFact, zsRE, and MQuAKE benchmarks using Llama-3.1-8B-Instruct and Qwen3-8B, the method achieves best-in-class probability-preference accuracy across all three datasets. Ablations show the gain comes from the architectural separation rather than increased parameter capacity.