Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts? - Wen Shen 002; Lei Cheng 006; Yuxiao Yang; Mingjie Li; Quanshi Zhang (CoRR, 2023)

Layerwise Change of Knowledge in Neural Networks. - Xu Cheng 005; Lei Cheng 006; Zhaoran Peng; Yang Xu; Tian Han 001; Quanshi Zhang (ICML, 2024)

Disentangling Regional Primitives for Image Generation. - Zhengting Chen; Lei Cheng 006; Lianghui Ding; Quanshi Zhang (CoRR, 2024)

Randomness of Low-Layer Parameters Determines Confusing Samples in Terms of Interaction Representations of a DNN. - Junpeng Zhang; Lei Cheng 006; Qing Li; Liang Lin; Quanshi Zhang (CoRR, 2025)

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions. - Lei Cheng 006; Junpeng Zhang; Qihan Ren; Quanshi Zhang (CoRR, 2025)

Technical Report: Quantifying and Analyzing the Generalization Power of a DNN. - Yuxuan He; Junpeng Zhang; Lei Cheng 006; Hongyuan Zhang; Quanshi Zhang (CoRR, 2025)