ScoutRoute: Efficient MoE Routing via Internal Model Signals
In brief
- ScoutRoute uses internal model signals to route MoE experts without joint training.
- The method relies on lightweight logistic probes and confidence-based routing strategies.
- Tests on five models and four benchmarks show improved performance and calibration.
ScoutRoute introduces a lightweight post-hoc routing framework for Mixture-of-Experts (MoE) systems. It leverages internal signals from language models to predict expert competence without joint training or expensive multi-model inference. Experiments across five open-weight models and four benchmarks demonstrate improved performance and calibration compared to existing methods.
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