Byungkyu Kang

Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning

Agentic Chain-of-Thought Steering (ACTS), which formulates reasoning steering as a Markov decision process where a controller agent adaptively steers a frozen reasoner during inference, and enables budget-aware strategy control for efficient reasoning while preserving the reasoner's generation continuity.