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Su-Nan Zou

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#machine learning Preprint Nov 2026

On the Design of Hyper-Connections: Simplification, Stability, and Scalability

Hyper-Connections (HC) architectures are increasingly adopted in frontier language models, yet their components remain insufficiently understood and introduce non-negligible training overhead. In this work, we systematically study the HC architecture to understand its components and identify simpler, more efficient des...

Xiang-Dong Zhang, Xiao-Han Qin, Su-Nan Zou et al. · 0 citations
#computer vision Preprint Oct 2026

Multi-Stream Attention Residuals

Attention Residuals (AttnRes) enables content-dependent retrieval over network depth, which can be viewed as single-stream softmax attention along the depth axis. Inspired by the success of multi-head attention along the sequence axis, we introduce Multi-Stream Attention Residuals (MSAR), an extension of AttnRes that g...

Xiao-Han Qin, Xiang-Dong Zhang, Tuo Dai et al. · 4 citations

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