Paul He

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I recently finished my undergraduate in Computer Science 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, and Combinatory Categorial Grammar Parsing with Professor Gerald Penn. I have a strong interest in Machine Learning and NLP. I’m currently working on Causal LLMs with Professor Zhijing Jin. I am an incoming Applied Scientist at Amazon Web Services (AWS).

You can view my resume here and my academic CV here.

Email: hepaul [at] cs [dot] toronto [dot] edu

news

Jun 03, 2025 Our paper CCG Revisited: A Multilingual Empirical Study of the Kuhlmann-Satta Algorithm has been accepted to SIGPARSE: International Conference on Parsing Technologies. You can find the paper on the ACL Anthology here.
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.