2026
Stem: Rethinking Causal Information Flow in Sparse Attention
ICML 2026poster
The quadratic computational complexity of self-attention remains a fundamental bottleneck for scaling Large Language Models (LLMs) to long contexts, particularly during the pre-filling phase. In this paper, we rethink the causal attention mechanism from the perspective of information flow. Due to ca…