Turning AI Into Better Thinkers With Pointer-Based Memory
SMRTR summary
PANM, a neural memory model, enhances symbol processing and length extrapolation by separating symbols from data and using an address bank for pointer manipulation, outperforming baselines in algorithm mining, compositional learning, math reasoning, and NLP tasks, even with longer sequences.
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