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MLLMs can learn to reason more faithfully by explicitly anchoring visual attention to relevant image regions and reinforcing the use of that evidence during reasoning via counterfactual interventions.
Stop wasting compute: selectively activating reasoning in embodied agents based on action entropy slashes computational cost while boosting navigation performance.