HRM's innovative modular design principle
HRM uses a two-layer recurrent neural network structure for reasoning operations. The high-level module is similar to the prefrontal cortex of the human brain, which performs long-duration abstract planning, while the low-level module simulates the sensorimotor cortex, which handles immediate computational tasks. The two modules form a complementary relationship through continuous information exchange, producing a 1+1>2 effect. Experiments demonstrate that this structure outperforms larger-scale models in the ARC-AGI-2 benchmark test.
The specific workflow is:
- High-level module to analyze the entire issue framework and develop a strategic plan
- The low-level module performs tactical calculations and handles specific operational steps
- Loop feedback mechanisms to ensure dynamic adjustments in planning and implementation
This synergistic mechanism eliminates the disconnect between planning and execution that is common in traditional models.
This answer comes from the articleHRM: Hierarchical Reasoning Model for Complex ReasoningThe
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