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 Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics. arXiv:2502.01657.
Abstract
arXiv
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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