Blockwise Causal Memory Transformer aims to model long-context language with local block attention and block-level global context propagation
Read the original at arxiv.org→arXiv:2608.13578v1 Announce Type: new Abstract: Transformer architectures rely on dense self-attention to model long-range dependencies, but this mechanism exhibits quadratic complexity with respect to sequence...
Original headline: "BCMT: Blockwise Causal Memory Transformer"
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- Aug 17, 04:00 UTC arXiv cs.CL lead source BCMT: Blockwise Causal Memory Transformer