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By reflecting on its own reasoning, ReflectRM achieves a +10.2 improvement in mitigating positional bias compared to leading generative reward models, making it a far more stable evaluator.
Securing Spiking Neural Networks against adversarial attacks can be achieved by moving neuron membrane potentials away from thresholds and introducing noise.
