MISO proposes a closed-loop workflow that uses model-internal signals to guide ranking-model edits, reporting better normalized entropy with far fewer training runs than expert-driven tuning.
2019.DARTS: Differentiable Architecture Search
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MISO: Model-Internal-State-Guided Optimization for Ranking Models
MISO proposes a closed-loop workflow that uses model-internal signals to guide ranking-model edits, reporting better normalized entropy with far fewer training runs than expert-driven tuning.