AI RESEARCH

Dynamical Systems Theory Behind a Hierarchical Reasoning Model

arXiv CS.AI

ArXi:2603.22871v1 Announce Type: new Current large language models (LLMs) primarily rely on linear sequence generation and massive parameter counts, yet they severely struggle with complex algorithmic reasoning. While recent reasoning architectures, such as the Hierarchical Reasoning Model (HRM) and Tiny Recursive Model (TRM), nstrate that compact recursive networks can tackle these tasks, their