SEAL: Steerable Reasoning Calibration of Large Language Models for Free
Separates execution, reflection, and transition steps in written CoT using hidden representations. Adds a steering vector at thought boundaries to adjust how often the model reflects or changes direction, then measures accuracy and token use.
First public: · Added to this list: November 9, 2026
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Analysis and evaluation — Measure how well these methods work, investigate what their internal computation does, and identify where they fail. This includes experiments, studies of model internals, and mathematical results.