Generative Recursive Reasoning Models Show Superior Scaling on Sudoku
anshulkundaje · x · 2026-08-02
Researchers have found that combining exploration with latent reasoning models effectively encourages diversity in reasoning latents and thoughts.
This approach, known as Generative Recursive Reasoning (GRAM), demonstrates excellent test-time scaling on tasks like Sudoku by utilizing parallel trajectory sampling. The associated paper (arXiv:2605.19376) suggests this framework enables end-to-end training, which could significantly improve out-of-distribution (OOD) generalization.
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