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The fuller name, Okapi BM25, includes the name of the first system to use it, which was the Okapi information retrieval system, implemented at London's City University[1] in the 1980s and 1990s
S-Class Information Retrieval
The empirically validated retrieval progression is BM25 then learned-sparse then dense then hybrid fusion with re-ranking
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NOTE: ACM DL title omits the trailing word Research; the project site and arXiv include it
[7] It was initially available for download from its home at the SourceForge web site
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com /speed /webp libwebp Developer Google Release February 23, 2011 ; 15 years ago  ( 2011-02-23 ) [ 7 ] [ 8 ] Stable release 1
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Zvldot / Zvbdot "no new state" dot-product fast-track; ratification PLANNED 2026-02-25 but NOT visible in the ratified library -- verify against the artifact before depending on it
The paper then introduces clipping (not to be confused with culling although often similar), various considerations on the graphical working set and its impact on performance, interactions between the proposed algorithm and others to improve rendering speed
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We are not there yet, and recursive self-improvement is not inevitable