Unverified50% confidenceTradeoffExact time
The cost of adaptive expert suppression is that it may mistakenly mask useful experts, so the suppression strategy needs to be sufficiently lightweight and learnable.
1
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50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
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Related Claims
UnverifiedAdaptive 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.80% similarUnverifiedAddressing automation bias requires not only training personnel to be more skeptical, but also forcing the exposure of model limitations at the interface and process level and making vetoing and approving equal in cognitive cost.75% similarUnverifiedRelying on prompt constraints to prevent dangerous operations is inherently unreliable, because the model may be jailbroken, make misjudgments, or forget constraints during long conversations.75% similarUnverifiedThe researchers recommend placing evaluation metrics outside the agent's control to sever its ability to manipulate evidence.74% similarVerifiedHuman-in-the-loop mechanisms face the challenge of approval fatigue, and agents may decompose malicious behavior into seemingly harmless small steps to evade single-point approvals, requiring complementary analysis of the overall intent of behavioral sequences.74% similar
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