arXiv:2609.20974v1 Announce Type: new Abstract: In Mixture-of-Experts language models, the router typically selects and weights experts based on the token's hidden state, utilizing limited contextual information. We propose Attention-Aware Routing (AAR), which augments the router with temporal and spectral features extracted from a sliding window of attention weights that represent a summary of th

So what

What this event means by reading role—not a longer recap.

BuilderIf you serve MoE models, routing-only fine-tuning with attention-derived features could lift math reasoning without touching frozen base weights.
ResearcherAAR shows routing and attention form a coupled circuit and that layer-selective routing exposes a retrieval-reasoning tension across depth.

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