KVBuffer reduces linear attention decoding latency by up to 45% and increases speculative decoding throughput 5x by buffering keys/values for flexible chunked and parallel computation.
Efficiently modeling long sequences with structured state spaces
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Gated DeltaNet-2 decouples channel-wise erase and write gates in linear attention, generalizing prior DeltaNet and KDA models while showing stronger results on language modeling and long-context retrieval at 1.3B scale.
citing papers explorer
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KVBuffer: IO-aware Serving for Linear Attention
KVBuffer reduces linear attention decoding latency by up to 45% and increases speculative decoding throughput 5x by buffering keys/values for flexible chunked and parallel computation.
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Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention
Gated DeltaNet-2 decouples channel-wise erase and write gates in linear attention, generalizing prior DeltaNet and KDA models while showing stronger results on language modeling and long-context retrieval at 1.3B scale.