DualKV is a new FlashAttention variant that shares prompt KV across multiple rollouts in RL training, delivering 1.63-3.82x speedups on 8B-30B models while remaining mathematically identical to standard attention.
Flash A ttention-3: Fast and accurate attention with asynchrony and low-precision
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
CONDITIONAL 2representative citing papers
Focus learns a few centroids to gate long-range token attention, producing sparse attention that matches or beats full attention quality with up to 8.6x speedup at million-token lengths.
citing papers explorer
-
DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts
DualKV is a new FlashAttention variant that shares prompt KV across multiple rollouts in RL training, delivering 1.63-3.82x speedups on 8B-30B models while remaining mathematically identical to standard attention.
-
Why Attend to Everything? Focus is the Key
Focus learns a few centroids to gate long-range token attention, producing sparse attention that matches or beats full attention quality with up to 8.6x speedup at million-token lengths.