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@UNITES-Lab

UNITES Lab

University of North Carolina, AI Trustworthiness, Efficiency, and for Science Group

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  1. MC-SMoE MC-SMoE Public

    [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"

    Python 84 10

  2. Flex-MoE Flex-MoE Public

    [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"

    Python 52 2

  3. Mew Mew Public

    [ECCV 2024] Code for the paper "Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network"

    Python 12

  4. Lingual-SMoE Lingual-SMoE Public

    [ICLR 2024] Code for the paper "Sparse MoE with Language-Guided Routing for Multilingual Machine Translation"

    Python 9 1

  5. MoE-RBench MoE-RBench Public

    [ICML 2024] Code for the paper "MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts"

    Python 8

  6. C2R-MoE C2R-MoE Public

    [NAACL 25 SAC Award] Official code for "Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design"

    Python 9

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