ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.13080
  4. Cited By
Does a Neural Network Really Encode Symbolic Concepts?

Does a Neural Network Really Encode Symbolic Concepts?

25 February 2023
Mingjie Li
Quanshi Zhang
ArXivPDFHTML

Papers citing "Does a Neural Network Really Encode Symbolic Concepts?"

27 / 27 papers shown
Title
Towards the Three-Phase Dynamics of Generalization Power of a DNN
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
Vision-Centric Representation-Efficient Fine-Tuning for Robust Universal Foreground Segmentation
Vision-Centric Representation-Efficient Fine-Tuning for Robust Universal Foreground Segmentation
Guoyi Zhang
Siyang Chen
Guangsheng Xu
Han Wang
Xiaohu Zhang
31
0
0
20 Apr 2025
Explainable and Interpretable Multimodal Large Language Models: A
  Comprehensive Survey
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Yunkai Dang
Kaichen Huang
Jiahao Huo
Yibo Yan
S. Huang
...
Kun Wang
Yong Liu
Jing Shao
Hui Xiong
Xuming Hu
LRM
96
14
0
03 Dec 2024
Why pre-training is beneficial for downstream classification tasks?
Why pre-training is beneficial for downstream classification tasks?
Xin Jiang
Xu Cheng
Zechao Li
32
0
0
11 Oct 2024
Alignment Between the Decision-Making Logic of LLMs and Human Cognition:
  A Case Study on Legal LLMs
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
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Yuan Zhang
Chun-Kai Fan
Junpeng Ma
Wenzhao Zheng
Tao Huang
...
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
Kurt Keutzer
Shanghang Zhang
VLM
25
37
0
06 Oct 2024
Layerwise Change of Knowledge in Neural Networks
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
Towards the Dynamics of a DNN Learning Symbolic Interactions
Towards the Dynamics of a DNN Learning Symbolic Interactions
Qihan Ren
Yang Xu
Junpeng Zhang
Yue Xin
Dongrui Liu
Quanshi Zhang
26
7
0
27 Jul 2024
Diagnosing the Compositional Knowledge of Vision Language Models from a
  Game-Theoretic View
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
Jin Wang
Shichao Dong
Yapeng Zhu
Kelu Yao
Weidong Zhao
Chao Li
Ping Luo
CoGe
LRM
43
2
0
27 May 2024
Quantifying In-Context Reasoning Effects and Memorization Effects in
  LLMs
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
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN
  Learning Over-Fitted Features
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features
Junpeng Zhang
Qing Li
Liang Lin
Quanshi Zhang
AI4CE
35
5
0
16 May 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and
  Research Agenda
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda
Johannes Schneider
81
26
0
15 Apr 2024
Improving Semantic Control in Discrete Latent Spaces with Transformer
  Quantized Variational Autoencoders
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
Yingji Zhang
Danilo S. Carvalho
Marco Valentino
Ian Pratt-Hartmann
André Freitas
DRL
48
5
0
01 Feb 2024
Defining and Extracting generalizable interaction primitives from DNNs
Defining and Extracting generalizable interaction primitives from DNNs
Lu Chen
Siyu Lou
Benhao Huang
Quanshi Zhang
26
9
0
29 Jan 2024
A Comprehensive Study of Knowledge Editing for Large Language Models
A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang
Yunzhi Yao
Bo Tian
Peng Wang
Shumin Deng
...
Lei Liang
Zhiqiang Zhang
Xiao-Jun Zhu
Jun Zhou
Huajun Chen
KELM
30
76
0
02 Jan 2024
Explaining How a Neural Network Play the Go Game and Let People Learn
Explaining How a Neural Network Play the Go Game and Let People Learn
Huilin Zhou
Huijie Tang
Mingjie Li
Hao Zhang
Zhenyu Liu
Quanshi Zhang
31
6
0
15 Oct 2023
Where We Have Arrived in Proving the Emergence of Sparse Symbolic
  Concepts in AI Models
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
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs
Mingjie Li
Quanshi Zhang
22
9
0
26 Apr 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward
  Propagation
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation
Lu Chen
Siyu Lou
Keyan Zhang
Jin Huang
Quanshi Zhang
TDI
FAtt
14
9
0
04 Apr 2023
Can the Inference Logic of Large Language Models be Disentangled into
  Symbolic Concepts?
Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?
Wen Shen
Lei Cheng
Yuxiao Yang
Mingjie Li
Quanshi Zhang
LRM
25
8
0
03 Apr 2023
Understanding and Unifying Fourteen Attribution Methods with Taylor
  Interactions
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
Bayesian Neural Networks Avoid Encoding Complex and
  Perturbation-Sensitive Concepts
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
Qihan Ren
Huiqi Deng
Yunuo Chen
Siyu Lou
Quanshi Zhang
BDL
AAML
25
10
0
25 Feb 2023
Discovering and Explaining the Representation Bottleneck of DNNs
Discovering and Explaining the Representation Bottleneck of DNNs
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
37
59
0
11 Nov 2021
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
J. Ren
Mingjie Li
Qirui Chen
Huiqi Deng
Quanshi Zhang
12
31
0
11 Nov 2021
Can We Faithfully Represent Masked States to Compute Shapley Values on a
  DNN?
Can We Faithfully Represent Masked States to Compute Shapley Values on a DNN?
J. Ren
Zhanpeng Zhou
Qirui Chen
Quanshi Zhang
FAtt
TDI
30
8
0
22 May 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
250
13,364
0
25 Aug 2014
1