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#computer vision Preprint Aug 2026

Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMs

This work studies ViT attention heads and finds they differentiate into object- and background-specialist roles, a pattern most pronounced under full attention, and proposes SHS-Index to quantify this specialization, showing that it distinguishes full-attention from chunk-window ViTs, and finds that it strongly tracks downstream benchmark performance.

Chenyu He, Lei Li, Shi-Cheng Li et al. · 0 citations

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