I started my Masters in Computer Science at the lab in September 2023, and received my BASc in Mathematical Physics from the University of Waterloo. I am currently working on improving the reasoning and planning capabilities of AI agents using strategies and concepts from reinforcement learning, large language models, and diffusion models.
Publications
Conference and Workshop Papers
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Varun Dhanraj,
Chris Eliasmith
(2025)
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations.
In Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, and Violet Peng, editors, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 30577–30596. Suzhou, China. Association for Computational Linguistics.
Abstract
DOI
External link
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Varun Dhanraj,
Chris Eliasmith
(2025)
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations.
In Sixth International Conference on the Mathematics of Neuroscience and AI.
Abstract
Poster
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Varun Dhanraj,
Chris Eliasmith
(2024)
Improving Reasoning and Planning Capabilities of Language Models using Reinforcement Learning.
In Mediterranean Machine Learning Summer School 2024.
Abstract
Poster