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Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMs

Paper recorded by Signals 4 on 2026-08-28 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31

Category: cs.CL · 自然语言处理 · first seen 2026-08-31

Abstract

Hybrid attention dominates frontier LLMs, yet Vision Transformers (ViTs) in multimodal LLMs lack a satisfactory hybrid design, with no consensus on why certain attention patterns work better. To fill this gap, we study ViT attention heads and find they differentiate into object- and background-specialist roles, a pattern most pronounced under full attention; we call this Semantic Head Specializati

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#183 most recent of 186 cs.CL papers we have recorded · ↑ newer: CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Mode · ↓ older: When Linguistic and Internal Confidence Diverge in Large Language Mode
Cite this page: Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMs: the #183 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/semantic-head-specialization-guides-hybrid-vit-attention-for-multimodal-llms.html
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