VAM! AI Reading Group: Paper Hierarchical Reasoning Model (HRM)

​Naveen will present Hierarchical Reasoning Model (HRM) paper.

​📄 Paper: https://arxiv.org/abs/2506.21734

​To maximize engagement, please try to read the paper in advance.

​Paper 3-line Summary: The Hierarchical Reasoning Model (HRM) is a compact recurrent neural architecture, with just 27 million parameters, designed to enhance AI reasoning by mimicking the brain's hierarchical processing of abstract planning and detailed execution.

​Trained on only 1,000 samples, HRM outperforms larger language models on benchmarks such as the Abstraction and Reasoning Corpus, demonstrating efficient, stable pathways toward general-purpose reasoning systems.

​Want to present?

​The list of papers will be available here: https://docs.google.com/spreadsheets/d/1HET5sjnHjwiF3IaCTipR_ZWspfgglqwdBFRWAfKBhp8/edit?usp=sharing

​To connect with the group, join the Discord: https://discord.gg/teJvEejs94

​Timeline:
🕠 6:30 PM – Arrival & Networking.

​🗣️ 6:45 PM ~ 7:15 – Paper Presentation

​🗣️ 7:15 PM - Discussions

​About the Facilitator

​Issam Laradji is a Research Scientist at ServiceNow and an Adjunct Professor at University of British Columbia. He holds a PhD in Computer Science and a PhD from the University of British Columbia, and his research interests include natural language processing, computer vision, and large-scale optimization.

​Looking forward to discussing the latest AI Papers!