Author

He-Long Hu

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#artificial intelligence Preprint Aug 2026

HiPACE: Hierarchical Phase-Boundary Analysis and Controlled Evaluation of Feature Absorption in Sparse Autoencoders

HiPACE is introduced, an evaluation protocol that tests the boundary's structural consequence in real SAE dictionaries--measuring parent--child decoder structure over WordNet families, freezing the discovery-selected statistic before testing on unseen families, and contrasting genuine families against randomized siblin...

Jin-Yuan Zhang, Peng-Ji He, Yin Yuan et al. · 0 citations

Preprint Aug 2026

Neither Precision Nor Architecture Alone: Controlled Tests of Failure Remedies for Physics-Informed Neural Networks

Physics-Informed Neural Networks (PINNs) frequently fail on stiff or advection-dominated PDEs, and two recent accounts offer competing remedies: switching from FP32 to FP64 to repair an L-BFGS stopping artifact, or replacing the MLP with a state-space-model (SSM) backbone plus sub-sequence alignment to counter architec...

Jin-Yuan Zhang, Peng-Ji He, He-Long Hu et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning

The main lesson is diagnostic: attention-level ICL proxies earn their place as training targets only after validation against behavioural gaps, and how far they can be trusted once it is optimised is asked.

Jin-Yuan Zhang, Peng-Ji He, He-Long Hu et al. · 0 citations