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Recursive Micro-Networks for Efficient Reasoning

Engineer lightweight neural architectures that iterate on their own outputs to rival larger models in structured reasoning tasks.

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10. Future Directions

Recursive micro-networks are evolving rapidly. Monitor development in:

  • Meta-Learning Controllers: Controllers that learn optimal recursion depth per task.
  • Adaptive Curriculum Generation: Systems that craft training examples targeting weaknesses detected in deployment.
  • Cross-Task Transfer: Sharing reasoning strategies across domains without retraining from scratch.
  • Probabilistic Guarantees: Leveraging uncertainty estimation to provide confidence intervals on outputs.
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