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Jianyang Gao
@gaoj0017
Author of the RaBitQ quantization algorithm; Postdoc at @ETH on AI, ML System, Vector Database; prev. PhD @NTUsg; ICPC World Final;
加入 April 2023
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The TurboQuant paper (ICLR 2026) contains serious issues in how it describes RaBitQ, including incorrect technical claims and misleading theory/experiment comparisons. We flagged these issues to the authors before submission. They acknowledged them, but chose not to fix them. The paper was later accepted and widely promoted by Google, reaching tens of millions of views. We’re speaking up now because once a misleading narrative spreads, it becomes much harder to correct. We’ve written a public comment on openreview ( We would greatly appreciate your attention and help in sharing it.
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