multi-head-memory

by deeplearning-wisc · indexed from github

[NeurIPS '26] Multi-head Recurrent Memory Agents

Recurrent memory agents process long contexts in chunks, consolidating useful information into a fixed-size memory. However, repeatedly rewriting a single memory block can erase information captured earlier, causing answer accuracy to decline as contexts grow. The paper separates memory capture from memory retention and identifies retention as the dominant bottleneck in the diagnostic experiments.

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