Paul He

I am a fourth-year undergraduate Computer Science student at the University of Toronto. I also spent a year at Swiss Federal Institute of Technology (ETH Zürich). I was fortunate to do a project on LLMs, information theory, and LLM interpretability with rycolab at the Institute for Machine Learning ETH. I have a strong interest in Machine Learning and NLP. I’m currently working on Causal LLMs with Professor Zhijing Jin and theoretical limitations of the Transformer with Professor Gerald Penn.
You can view a simplified version of my CV here.
Email: hepaul [at] cs [dot] toronto [dot] edu
news
Jan 23, 2025 | Our paper Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation that I’ve contributed to can be found at here (arXiv) and has been accepted to NAACL 2025 (Main). My main contribution involves in section 4 of the paper. |
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