✨Less is More: Recursive Reasoning with Tiny Networks

📝 Summary:
Tiny Recursive Model TRM uses a simple, two-layer network for recursive reasoning. It significantly outperforms larger language models on complex puzzle tasks like ARC-AGI, achieving high generalization with vastly fewer parameters. TRM demonstrates superior performance with minimal resources.

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxivexplained.com/papers/less-is-more-recursive-reasoning-with-tiny-networks
• PDF: https://arxiv.org/pdf/2510.04871
• Project Page: https://alexiajm.github.io/2025/09/29/tiny_recursive_models.html
• Github: https://github.com/SamsungSAILMontreal/TinyRecursiveModels/issues/2

🔹 Models citing this paper:
• https://huggingface.co/wtfmahe/Samsung-TRM
• https://huggingface.co/ordlibrary/X402

✨ Datasets citing this paper:
• https://huggingface.co/datasets/emiliocantuc/sudoku-extreme-1k-aug-1000

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