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Training Matryoshka Mixture-of-Experts for Elastic Inference-Time Expert Utilization
Mixture-of-Experts (MoE) has emerged as a promising paradigm for efficiently scaling large language models without a proportional increase in computational cost. However, the standard training strategy of Top-K router prevents MoE models from realizing their full potential for elastic inference. Whe
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