Stanford and UC Berkeley researchers release TokenGate for faster long-context prefillMachine translation
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TokenGate uses a trainable gate to select which input tokens receive full processing. Across five tasks using Qwen3-1.7B, the research team reports 1.4x to 11.3x faster time to first token and 1.5x to 3.4x lower peak prefill memory. Timings used one A100 at batch size 1; code and checkpoints are available.
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