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NVIDIA researchers introduce MLIPS, a training-free method that shares a producer layer's broad candidate pool across sparse attention layers, achieving 1.14–1.40× speedups and 14.8–27.4% lower GPU energy on DeepSeek-V4-Flash with minimal accuracy change.