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Bridging the gap between ANNs and SNNs could revolutionize federated learning on resource-constrained devices, achieving high accuracy without sacrificing efficiency.
Transition supervision can dramatically boost LLM agent performance, outperforming standard policy optimization by leveraging environmental feedback.