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Zi-Xuan Gong

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#artificial intelligence Preprint Sep 2026

Normalize-Then-Precondition: A Hierarchical Approach to Marginal Scale and Interaction Geometry for LLM Training

Matrix optimizers have emerged as a promising direction, with Muon standing out as a prominent design. Revisiting Muon through its full-Gram representation, we observe that it jointly processes marginal-scale and interaction information. This opens an alternative way to organize geometric information hierarchically, mo...

Zi-Xuan Gong, Ze-Yu Gan, Jia-Ye Teng et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Harness Evolution as Learning: Approximation, Generalization, and Optimization Limits of Self-Improving Personal Agents

This work introduces a preference-oriented benchmark and systematically characterize the capabilities and limitations of personal agents associated with these three dimensions of harness evolution, offering a unified perspective on the limits of personalization through harness evolution and inform future harness design...

Ze-Yu Gan, Zi-Xuan Gong, Yong Liu · 2 citations

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