Paul He
I am a PhD student in Computer Science at Nanyang Technological University (NTU), Singapore, where I study reliability in large language models with a focus on methods that offer provable guarantees. Prior to this, I completed my BSc in Computer Science (Honours) at the University of Toronto and spent a year at ETH Zürich taking graduate-level courses in machine learning and NLP. I also worked as an Applied Scientist at AWS, where I conducted research on LLM reliability and evaluation in production systems.
You can view my CV here(Last Updated: 04.Jan.2026), and my google scholar here.
Email: hepaul [at] cs [dot] toronto [dot] edu
news
| Jan 12, 2026 | Starting my PhD at NTU Singapore! |
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| Jan 04, 2026 | Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification has been accepted to EACL (main)! Preprint here. |
| Sep 01, 2025 | Started as an Applied Scientist at AWS in Tuebingen! |
| Jun 19, 2025 | Finished my undergraduate at UofT in computer science! |
| 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. |