Memory-augmented Transformer research is organized into a three-axis taxonomy bridging neuroscience memory concepts to network designs, but no new result is produced.
Adaptive knowledge consolidation: A dynamic approach to mitigating catastrophic forgetting in text-based neural networks
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Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures
Memory-augmented Transformer research is organized into a three-axis taxonomy bridging neuroscience memory concepts to network designs, but no new result is produced.