Adaptive Activation Steering for Efficient LLM Reasoning via Closed-Loop PID Control
The method treats activation steering as a control problem using a closed-loop system to reduce redundant reasoning content in LLMs. It uses a redundancy classifier to provide feedback to a PID controller, which dynamically adjusts the steering strength for each text chunk. This adaptive approach suppresses unnecessary thinking while maintaining high accuracy and significantly reducing output length.