Domain-specific experts exist in MoE-based LLMs, and the training-free DSMoE framework steers them to outperform baselines on target domains with no added inference cost.
org/CorpusID:239998651
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Lynx exploits training-induced batch-level expert activation skews via AffinityBinning to reduce invoked experts per batch, delivering up to 1.30x throughput with under 1% accuracy loss across four model families.
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Do Domain-specific Experts exist in MoE-based LLMs?
Domain-specific experts exist in MoE-based LLMs, and the training-free DSMoE framework steers them to outperform baselines on target domains with no added inference cost.
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Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection
Lynx exploits training-induced batch-level expert activation skews via AffinityBinning to reduce invoked experts per batch, delivering up to 1.30x throughput with under 1% accuracy loss across four model families.