10 citations · 33 across the 10 of their papers we have counts for
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cs.LG2023★ 2 cited
Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models
Qihan Ren, Jiayang Gao, Wen Shen +1
This study aims to prove the emergence of symbolic concepts (or more precisely, sparse primitive inference patterns) in well-trained deep neural networks (DNNs). Specifically, we p…
cs.CL2023★ 1 cited
Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?
Wen Shen, Lei Cheng, Yuxiao Yang +2
In this paper, we explain the inference logic of large language models (LLMs) as a set of symbolic concepts. Many recent studies have discovered that traditional DNNs usually encod…
cs.LG2023★ 3 cited
Explaining Generalization Power of a DNN Using Interactive Concepts
Huilin Zhou, Hao Zhang, Huiqi Deng +4
This paper explains the generalization power of a deep neural network (DNN) from the perspective of interactions. Although there is no universally accepted definition of the concep…