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Nati Daniel

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#artificial intelligence Preprint Sep 2026

Cross-Entropy Guided Routing in Mixture-of-Experts Large Language Models

Sparse mixture-of-experts (MoE) large language models scale model capacity by routing each token to a small subset of experts. Their routers are regularized with load balancing terms and learn affinity scores through the language-model objective. However, these objectives do not provide direct alignment between routing...

Yury Nahshan, Nati Daniel, Jacob Goldberger et al. · 0 citations

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