Unverified50% confidenceFactExact time
Traditional expert pruning methods score and rank each expert independently or exhaustively search expert combinations, ignoring the global structural relations among experts.
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50%
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Long-term
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11/2/2026
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UnverifiedAlthough 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.74% similarUnverifiedIn 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.73% similarUnverifiedSigmoid 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.72% similarUnverifiedExpert-in-the-loop in Agent evaluation requires judging whether a series of actions is reasonable; such judgments are hard for non-experts to make, so the decision process of domain experts needs to be structured.69% similar
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