AINeutralarXiv – CS AI · 6h ago6/10
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Closed-Loop Neural Activation Control in Vision-Language-Action Models
Researchers introduce CTRL-STEER, a closed-loop control framework that enables Vision-Language-Action models to dynamically adjust steering interventions at test time based on real-time feedback rather than using fixed coefficients. The method uses adaptive control signals to regulate internal model directions, demonstrating improved task success and stability on robotic control benchmarks without modifying the base model.