Post-Boundary Bridge: Must Local Attention Go Global Between Global Layers?
Hybrid Transformers reduce the cost of long-context modeling by combining local attention with periodic full-attention layers. When global communication is already available, however, the best use of local computation remains unclear. We introduce Post-Boundary Bridge (PBB), which preserves causal attention within blocks and adds direct connections across their boundaries. Rather than extending the range of information relayed through successive local layers, PBB prioritizes within-block modeling and nearby exchange, leaving long-range communication to full-attention layers. Across dense and mixture-of-experts models with 205 million to 2.07 billion stored parameters, PBB hybrids retain n...
| Authors | Zhibo Yang |
|---|---|
| Primary category | cs.LG |
| Published | 1 June 2026 |
| Last updated at source | 17 September 2026 |
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