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MoE_top_experts

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This repository is a part of "MoE_expert_selection_trace Repository". It provides statistics on the top-5 most popular experts across multiple levels. Each level includes result figures from all three models.

Request Level: Top-5 most popular experts across different requests within the same subject of the same dataset.
Subject Level: Top-5 most popular experts across different subjects within the same dataset.
Dataset Level: Top-5 most popular experts across different datasets.

📌 Citation

If you use this dataset in your research or project, please cite it as:

@misc{yu2025orderschaosenhancinglargescale,
      title={Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting}, 
      author={Zhongkai Yu and Yue Guan and Zihao Yu and Chenyang Zhou and Zhengding Hu and Shuyi Pei and Yangwook Kang and Yufei Ding and Po-An Tsai},
      year={2025},
      archivePrefix={arXiv},
      url={https://arxiv.org/abs/2510.05497}, 
}

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Paper for core12345/MoE_top_experts

Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting

Paper • 2510.05497 • Published Oct 7, 2025