NMSLIB author publicly slams new vector search preprint for downplaying prior work

srchvrs · x · 2026-11-05

NMSLIB author srchvrs calls a new vector-search preprint's treatment "extremely unfair": NMSLIB was the first widely used ANN library supporting dense and sparse representations, multiple similarity measures, and graph-based indexing for both, with its 2016 CIKM paper showing graph-based sparse retrieval competitiveness long before the 2023 BigANN challenge. He says he privately flagged this in January and got acknowledgment, yet the preprint never names NMSLIB as a library and cites their paper to back an unsubstantiated claim that multi-representation support "reduces performance on each." The authors respond the sentence's subject was hnswlib and that their dense/sparse/multivector scope only warrants citing nmslib in the intro.

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