AIBullisharXiv – CS AI · 3h ago7/10
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Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models
Researchers present a guided stochastic exploration framework that enhances inference in recursive neural network architectures by treating reasoning as approximate inference over latent trajectories. The method uses stochastic perturbations and model-based reweighting to improve performance on structured reasoning tasks, achieving 98% accuracy on Sudoku-Extreme (up from 85.9%) while providing three label-free diagnostics to assess reliability without retraining.