How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis
Published in arXiv Preprint, 2024
Guanzhe Hong, Nishanth Dikkala, Enming Luo, Cyrus Rashtchian, Xin Wang, Rina Panigrahy
Publications
You can also find my articles on my Google Scholar profile.
Papers
How Transformers Reason: A Case Study on a Synthetic Propositional Logic Problem
Published in NeurIPS MATH-AI Workshop, 2024
Guanzhe Hong, Nishanth Dikkala, Enming Luo, Cyrus Rashtchian, Xin Wang, Rina Panigrahy
Why Fine-grained Labels in Pretraining Benefit Generalization
Published in Transactions on Machine Learning Research, 2024
Guanzhe Hong, Yin Cui, Ariel Fuxman, Stanley Chan, Enming Luo
Student-Teacher Learning from Clean Inputs to Noisy Inputs
Published in Conference on Computer Vision and Pattern Recognition, 2021
Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley Chan
Rethinking Atmospheric Turbulence Mitigation
Published in arXiv Preprint, 2019
Nicholas Chimitt, Zhiyuan Mao, Guanzhe Hong, Stanley Chan