NMSLIB author calls out ANN library paper for downplaying pioneering work

srchvrs · x · 2026-11-05

The author of NMSLIB publicly complained that a paper on general-purpose ANN libraries treats his earlier work unfairly: reducing it to an incidental mention and a questionable negative example, while devoting extensive attention to newer libraries that built on it. He noted NMSLIB was the first widely used ANN library supporting both dense and sparse representations, multiple similarity measures, and graph-based indexing for both, and that their 2016 CIKM paper showed graph-based methods are competitive on sparse data. He says he isn't questioning the new work, just that survey-style papers should credit and describe prior work accurately.

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