Microsoft paper: sliding window attention beats linear attention in inference
A Microsoft Research paper shows that training-free sliding window attention, especially combined with attention sinks, matches or beats post-trained linear attention models and delivers up to 10x better long-context inference while cutting memory.
2026-09-02 ~ 2026-09-03 · 2 related posts
- Episode 1: Zero-cost sliding-window attention with sinks beats fine-tuned linear attention(2026-08-31, 9 posts)
- Episode 2: Microsoft paper: sliding window attention beats linear attention in inference(2026-09-02, 2 posts)
- Microsoft Paper: Sliding Window Attention Beats Linear Attention for Inference Memory — rohanpaul_ai · 2026-09-02
- Microsoft Research: sliding window attention + sinks beats linear attention 10x on long context — burkov · 2026-09-03