Unverified50% confidenceFactExact time
Sigmoid routing scores each expert independently without cross-expert normalization, allowing "multiple experts to be highly preferred simultaneously," whereas Softmax routing normalizes each expert's score into a probability, inherently creating competition among experts.
1
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50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
Sources
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Related Claims
UnverifiedIn Expert Choice routing, each expert selects a fixed number of top-k tokens from all tokens according to its own preference; load balancing on the expert dimension is strictly guaranteed mathematically, but there may be cases where some tokens are not selected by any expert.72% similarUnverifiedAdaptive expert suppression predicts, based on each token's representation features, which experts are unlikely to be useful before routing, and sets the logits or probabilities of these experts to extremely low values.69% similarUnverifiedAlthough multi-expert systems can avoid interference through parameter isolation, selecting the correct expert at inference time is very difficult when domain labels are absent and acoustic distributions overlap.68% similarVerifiedIn MoE implementations, without constraints, the router tends to concentrate token assignments to a small number of experts, leading to Expert Collapse.68% similar
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