Luke Rivard | University of Waterloo

Meta-learning: Can we train a meta-learning system of models via communication.
Knowledge Communication: Can we utilize GPT models like ChatGPT in combination with other specialized models to solve more complex tasks using communication. Or could we use GPT models to assist in training multi-modal models using communication.

Masters in CS, University of Waterloo
Actuary Candidate, Casualty Actuarial Society
B.Sc in Math and Computer Science, McMaster University
+ Minors in Statistics, Economics and Finance
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I am a determined student studying NLP at University of Waterloo advised by Yuntian Deng. Simultaneously, I am also nearly a professionally credentialed P&C Actuary (insurance engineer) with 6/7 exams fullfilled for associateship with the CAS. My research interests are in AI and ML, with a particular focus on models with long term memory.

I also enjoy bbq/smoking, basketball, pool, finance, golf and am a huge AMD fan in their pursuit to take on NVIDIA, so the #1 bottle neck to research (compute) can be more accessible.

Selected Work

	NeuralOS: Towards Simulating Operating Systems via Neural Generative Models Luke Rivard, Sun Sun, Hongyu Guo, Wenhu Chen, Yuntian Deng. ICLR 2026
	Chat Annotator: Fixing model errors with fine-grained feedback Luke Rivard, Yuntian Deng.