Author

Quan-Lu Zhang

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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

#natural language process... Preprint Sep 2026

NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness

Recursive self-improvement (RSI) requires a concrete mechanism through which an AI system observes its capabilities and converts that evidence into the next round of learning. We present NeoHorse-1, a family of agent-native models developed to explore this path through agentic post-training. Our system combines a heter...

NeoHorse Team, Guo-Liang Cao, Guo-Hao Dai et al. · 0 citations