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Early denoising stages in diffusion models are up to 2.58脳 more vulnerable to hardware noise, but a novel approach can mitigate this without retraining.
Accepting selective mismatches in autoregressive decoding can boost throughput by over 15% without any additional training or model adjustments.
CircuitWeave achieves up to 8.46 percentage points higher RTL generation accuracy by integrating schematic diagrams with natural language specifications through a novel contract-mediated approach.
