Author

Mark Zhang

2 papers indexed here

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#machine learning Preprint Feb 2026

Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generative Modeling

Neuro-Symbolic Graph Generative Modeling (NSGGM), a framework built on the principle of Neural Proposals, Symbolic Guarantees, is introduced, and is competitive with state-of-the-art methods on unconstrained tasks.

Chu-Qin Geng, Li Zhang, Mark Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Rethinking Circuit Evaluation: Do Circuits Explain Model Errors?

Findings show circuits can preserve task success without adequately explaining model's failures, and support exact error reproduction as a necessary, but not sufficient, test of circuit-based explanations of model behaviour.

Li Zhang, Chu-Qin Geng, Mark Zhang et al. · 0 citations