Author

Yun-Quan Zhang

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#artificial intelligence Preprint Sep 2026

Is Human-Readable Text Necessary for Effective LLM Fine-Tuning?

Is human readability necessary for effective fine-tuning of large language models? We investigate whether model-conditioned training representations can preserve or improve adaptation utility without requiring a human-readable textual form. We propose Desired-Update-Aligned Synthetic Data (DASA), which uses activation-...

Jin-Hao Zhang, Ze-Yu Liu, Zi-Cheng Yan et al. · 0 citations

Preprint Aug 2026

Quantifying Depth Sufficiency in Residual Neural Networks: A First-Order Criterion

How can we determine whether a trained neural network is already deep enough? We study this under a fixed function-preserving residual-growth protocol specifying insertion locations, residual families, zero-output initializations, and zero-state first-order updates. We define first-order residual depth saturation as th...

Zeyu Liu, Jinhao Zhang, Yun-Quan Zhang et al. · 0 citations