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BCMT: Blockwise Causal Memory Transformer
Not provided
long-contextmemory mechanismstransformers
2608.13578
Builder Relevance
1h ago80%
Abstract
BCMT introduces a new architecture for long-context language modeling that efficiently propagates long-range contextual information without relying on explicit global attention.
Reality Card
Core Claim
BCMT achieves validation performance comparable to Dense Transformers while significantly improving training throughput and reducing memory consumption.
Method / Result
BCMT can handle context lengths of up to 1024 tokens.
Limitations
The paper does not specify the authors or provide detailed experimental setups, which may hinder reproducibility.
Paper to code
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