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Ke Qin

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#artificial intelligence Preprint Sep 2026

Visual Graph Reasoning via Knowledge Compilation

VGCompiler organizes reasoning around two compilers: a representation compiler that recovers a structure-preserving intermediate graph representation from visual input, and an operation compiler that compiles query intent under the recovered graph state into an executable graph operation.

Rong-Zheng Wang, Zhe Wang, Ke Qin et al. · 0 citations
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

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