Author

Yu Wang

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#machine learning Preprint Sep 2026

HAPMoE: Heterogeneity-Aware Automatic Parallelism Planning for Mixture-of-Experts Models Training

As model sizes continue to scale, distributed training has become inevitable. Automatic parallelization techniques can derive efficient training parallelism strategies at low cost while achieving superior performance. The difficulty of this problem is jointly determined by the complexity of the model and the underlying...

Meng-Yuan Fan, Pei-Zhuang Cong, Zi-Xiao Huang et al. · 0 citations

Jul 2026

Convolution for Large Language Models

These results support depthwise convolution as a lightweight complement to self-attention for modeling short-range token interactions and suggest that the convolution makes repeated token IDs more sensitive to their immediate context.

Yu-Chuan Tian, Yingte Shu, Wei He et al. · arXiv.org · 0 citations