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4th BEIR dataset shipped. SciDocs (25,657 docs, 1000 queries) — paper-similarity retrieval where dense beats lexical+fusion. | Pipeline | SciDocs nDCG@10 | |----------------------|-----------------| | dense alone (BGE-base) | 0.211 (RANK 2/11) | | Lucene RRF (no rerank) | 0.203 (-0.008, RRF hurt) | SciDocs joins the 3 prior datasets. The 4-dataset mean leaderboard: | System | Params | Mean | |------------------------------|-------:|-----:| | BGE-large-v1.5 (published) | 335M | 0.491 | | SPLADE++ (published) | 110M | 0.433 | | ruflo best (per-dataset) | 110M | 0.421 ← us, rank 3/11 | | GTR-XL (published) | 1.2B | 0.405 | | GenQ (published) | 110M | 0.400 | | BM25 (published Lucene) | — | 0.390 | | Contriever | 110M | 0.387 | | TAS-B | 66M | 0.385 | | DocT5query | 60M | 0.378 | | ColBERT | 110M | 0.339 | | SBERT msmarco | 110M | 0.330 | Rank 3/11 on 4-dataset mean. Beats GTR-XL (1.2B) with 1/10x the params. Loses only to SPLADE++ (-0.012, basically tied) and BGE-large (-0.070). === Config divergence (the real ADR-091 finding) === After 4 datasets, NO single pipeline wins everywhere: | Dataset | Best config | What hurts | |------------|----------------------------|-----------------------------| | NFCorpus | Lucene + RRF + CE rerank | (full pipeline wins) | | SciFact | Lucene + RRF + CE rerank | (full pipeline wins) | | ArguAna | Lucene + RRF (no CE) | CE rerank actively HURTS | | SciDocs | dense alone | RRF + CE both hurt | Three of four datasets pick a different best config. A fixed-pipeline deployment would leave 1-3 points of nDCG@10 on the table per dataset. Need a per-corpus calibrator to auto-select; tracked. Co-Authored-By: RuFlo <ruv@ruv.net>
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