540 citations · 833 across the 33 of their papers we have counts for
4 papers · 1 filter
A rationale from frequency perspective for grokking in training neural network
Zhangchen Zhou, Yaoyu Zhang, Zhi-Qin John Xu
Grokking is the phenomenon where neural networks NNs initially fit the training data and later generalize to the test data during training. In this paper, we empirically provide a…
Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism
Zhiwei Wang, Yunji Wang, Zhongwang Zhang +7
Large language models have consistently struggled with complex reasoning tasks, such as mathematical problem-solving. Investigating the internal reasoning mechanisms of these model…
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
Zhongwang Zhang, Pengxiao Lin, Zhiwei Wang +2
Transformers have shown impressive capabilities across various tasks, but their performance on compositional problems remains a topic of debate. In this work, we investigate the me…
Solving multiscale dynamical systems by deep learning
Junjie Yao, Yuxiao Yi, Liangkai Hang +5
Multiscale dynamical systems, modeled by high-dimensional stiff ordinary differential equations (ODEs) with wide-ranging characteristic timescales, arise across diverse fields of s…