Paper
LLMs & Texto
HydraHead: From Head-Level Functional Heterogeneity to Specialized Attention Hybridization
HydraHead is a novel attention hybridization architecture that combines Full Attention and Linear Attention at the head level, achieving superior long-context performance with redu…
Hugging Face · Daily Papers
·Zhentao Tan, Wei Chen
·
·▲ 17 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Zhentao Tan, Wei Chen, Jingyi Shen, Yao Liu, Xu Shen, Yue Wu
- 17 upvotes da comunidade
- Temas: attention hybridization, Linear Attention, Full Attention, head-level hybridization, interpretability-driven selection, scale-normalized fusion
Resumo
Resumo original (em inglês), extraído do paper:
HydraHead is a novel attention hybridization architecture that combines Full Attention and Linear Attention at the head level, achieving superior long-context performance with reduced training overhead through interpretability-driven selection and scale-normalized fusion.
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