Author

Xin-Yu Zhang

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#artificial intelligence Preprint Oct 2026

When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization

Weight-only post-training quantization (PTQ) relies heavily on reconstruction loss minimization to preserve model quality at low precision. We show that the weights favored by minimizing this loss need not yield better model performance on new tasks. In fact, we find that lower reconstruction loss can even degrade mode...

Yan-Long Zhao, Xiao-Yuan Cheng, Hui-Hang Liu et al. · 0 citations

Open access Sep 2026

A Low-Code Data Analytics Agent with Flexible Functional Module Selection for Employment Data Mining

To address the practical challenges of employment data analysis — the complexity of the data that makes manual analysis difficult, the inefficiency of manually written scripts, and the hallucination problem of large-language-model (LLM) data analysis — this work builds on my earlier EPQ Project using a static random fo...

Xin-Yu Zhang, Tong Sha · Journal of Computer Science... · 0 citations

#machine learning Preprint Aug 2026

SR-OPSD: Self-Referenced On-Policy Self-Distillation

Extensive experiments across scientific evaluation, mathematical reasoning, and coding generation tasks with multiple large language models show that SR-OPSD achieves the state-of-the-art or competitive performance across various settings.

Zhuo Sun, Entong Li, Yan-Long Zhao et al. · 0 citations