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Yingjia Wan

University of Cambridge

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#machine learning Preprint Sep 2026

Entropy Can Flow, or It Can Guide. Be Entropy. LEDFlow: Introducing Entropy-guided Generation Order into Uniform Discrete Flow

Low-Entropy Discrete Flow (LEDFlow), a training-free sampler that adaptively orders absorption by local entropy, is proposed, and it is shown that, under entropy-error regularity, selecting the lowest-entropy positions under a fixed absorption count minimizes an upper bound on the conditional term.

Tung Sum Thomas Kwok, Yi-Dong Ouyang, Yingjia Wan et al. · 0 citations
Jul 2026

FormalRx: Rectify and eXamine Semantic Failures in Autoformalization

FormalRx is introduced, a comprehensive diagnostic evaluation framework that transforms autoformalization assessment from black-box judgments into actionable feedback, and enables systematic diagnosis and improvement of autoformalization systems.

Haocheng Wang, Baiyu Huang, Yingjia Wan et al. · 1 citation
Review Jul 2026

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier

It is argued that the next leap in AI4Math systems requires a decisive shift from predefined problem-solvers to research agents that can address frontier mathematical challenges with rigorous formal mathematical reasoning, highlighting core limitations of existing systems in serving as mathematical research agents.

E. Jiang, Xiao Liang, Yikai Zhang et al. · 1 citation

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