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Qizhi Jiang

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Open access Jul 2026

CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models

Confidence-Adaptive Thinking (CAT) is proposed, a framework that incorporates the model's intrinsic self-certainty signals as confidence into the preference optimization process, which autonomously modulates reasoning lengths based on problem difficulty.

Qizhi Jiang, Shuoyao Wang, Pei Ke et al. · 0 citations