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NLL-Guided Full-Attention Layer Selection for Training-Free Sliding-Window Adaptation

arXiv cs.CL · 2026-06-29 Cached

Proposes a training-free NLL-guided method for selecting which layers to retain full attention in hybrid attention models, achieving comparable accuracy with 1/4 full-attention layers against a 1/2 periodic baseline on long-context tasks.

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