arXiv cs.LG
· Papers
MARCH: Scaling Recurrent Memory with Content-Routed State Anchors
arXiv:2608.12435v1 Announce Type: new Abstract: Transformers owe much of their strong long-context retrieval capability to a token-level memory that grows with context length. This flexibility, however, incurs a quadratic computation complexity during training and a key--value cache that grows linearly during autoregre