Paul He

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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 my resume here and my academic 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.