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Did Stanford and UC Berkeley introduce TokenGate for faster long-context prefill?

ReportedLast checked
Stanford / UC BerkeleyFirst seen

Verdict

Yes, per MarkTechPost. The outlet covers up to 11.3× faster time-to-first-token and up to 3.4× lower peak memory without reported accuracy loss.

Evidence timeline · 1 source · newest first
  1. Reported

    MarkTechPost covers TokenGate, a learned token-pruning module from Stanford and UC Berkeley that cuts long-context prefill time-to-first-token by up to 11.3× and peak memory by up to 3.4× without reported accuracy loss.

    Source: MarkTechPost
Quick answers
Has Stanford / UC Berkeley confirmed it?
No. Stanford / UC Berkeley has not confirmed it as of Oct 26.
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Denied by the company, retracted by the original source, or shown to be false by the evidence.

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