Routing sensitivity in MoE models is necessary but insufficient for stereotype control because bias and knowledge remain entangled within expert groups and preference shifts do not transfer to generated text.
arXiv preprint arXiv:1906.04571 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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Causality resolves trade-offs in trustworthy AI by treating them as invariance conflicts under different data-generating process changes.
citing papers explorer
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Routing Sensitivity Without Controllability: A Diagnostic Study of Fairness in MoE Language Models
Routing sensitivity in MoE models is necessary but insufficient for stereotype control because bias and knowledge remain entangled within expert groups and preference shifts do not transfer to generated text.
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Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
Causality resolves trade-offs in trustworthy AI by treating them as invariance conflicts under different data-generating process changes.