Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?

3 April 2023

Papers citing "Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?"

9 / 9 papers shown

Title
Towards the Three-Phase Dynamics of Generalization Power of a DNN Yuxuan He Junpeng Zhang Hongyuan Zhang Quanshi Zhang AI4CE 26 0 0 11 May 2025
Alignment Between the Decision-Making Logic of LLMs and Human Cognition: A Case Study on Legal LLMs Lu Chen Yuxuan Huang Yixing Li Yaohui Jin Shuai Zhao Zilong Zheng Quanshi Zhang 29 1 0 06 Oct 2024
Layerwise Change of Knowledge in Neural Networks Xu Cheng Lei Cheng Zhaoran Peng Yang Xu Tian Han Quanshi Zhang KELM FAtt 33 6 0 13 Sep 2024
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs Siyu Lou Yuntian Chen Xiaodan Liang Liang Lin Quanshi Zhang 32 2 0 20 May 2024
Defining and Extracting generalizable interaction primitives from DNNs Lu Chen Siyu Lou Benhao Huang Quanshi Zhang 29 9 0 29 Jan 2024
Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models Qihan Ren Maximilian Brunner Wen Shen S. Mintchev 34 11 0 03 May 2023
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs Mingjie Li Quanshi Zhang 30 9 0 26 Apr 2023
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions Huiqi Deng Na Zou Mengnan Du Weifu Chen Guo-Can Feng Ziwei Yang Zheyang Li Quanshi Zhang FAtt TDI 49 22 0 02 Mar 2023
Discovering and Explaining the Representation Bottleneck of DNNs Huiqi Deng Qihan Ren Hao Zhang Quanshi Zhang 37 59 0 11 Nov 2021