Mechanics of Long-Context Hybrid Models Part 1.1: From Hybrid Attention to Hybrid Position
This series begins with hybrids of full attention and either sliding-window attention (SWA) or gated variants of linear attention (LA), represented by GLA and GDN, and finds that SWA hybrids suffer from a Short-Context Learning Trap, Short-Window Weariness, and Long-Window Laziness, and require extended windows to enha...