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Hang-Cheng Dong

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#artificial intelligence Preprint Sep 2026

Predicting Out-of-Distribution Generalization of Neural Operators via Observable Spectral Error Decomposition

Neural operators have emerged as powerful surrogates for solving partial differential equations (PDEs), yet their reliability under distribution shift remains a critical barrier to deployment. Existing approaches to out-of-distribution (OOD) generalization in operator learning are largely empirical and black-box: they...

Hang-Cheng Dong, Peng-Cheng Cheng · 0 citations

Preprint Jul 2026

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models

The pursuit of autonomously self-improving models has attracted growing interest in the era of large-scale foundation models. Drawing inspiration from the concept of"enlightenment"or"aha moment"in human brain, we hypothesize that large models exhibit an analogous enlightenment phenomenon-a latent capacity for sudden ca...

Jingxiao Liao, Tianwei Zhang, Yu-Hao Jiang et al. · 0 citations