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Zhong-Sheng Wang

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#artificial intelligence Review Oct 2026

Can We Believe AI Peer Review?

As large language models become widely used in scientific review and manuscript revision, AI scores are increasingly serving as feedback for assessing paper quality and guiding edits. Yet whether a single AI score reliably reflects the reviewer's judgment, and whether revision gains based on that score are endorsed by...

Zong-Rui Yang, Hao-Yuan Li, Zhong-Sheng Wang et al. · 0 citations
#machine learning Preprint Oct 2026

When Does Depth Help? Understanding Layerwise Inference in Tabular Foundation Models

Transformer-based tabular foundation models (TFMs) achieve state-of-the-art performance on small to medium-sized tabular prediction tasks while processing diverse inputs through a shared stack of layers. Recent layerwise analyses identify strong predictive performance in early TFM representations and substantial overla...

Wen-Wen Gong, Hao-Tian Gu, Zhen Yang et al. · 0 citations
#artificial intelligence Preprint Oct 2026

MCRI: A Four-Dimensional Framework for Analyzing and Evaluating Agent Skills

As agents evolve from single-tool systems into modular, composite architectures, skills are becoming an important mechanism for capability development and distribution. However, the academic community lacks a structured framework for systematically analyzing and evaluating skills. Drawing on information gain and behavi...

Zong-Rui Yang, Xin-Tong Li, Run-Chen Xu et al. · 0 citations

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