AIBullisharXiv – CS AI · 3h ago7/10
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Deconstructing Spatial Complexity: Hierarchical Decomposition for LLM Spatial Reasoning
Researchers introduce a hierarchical decomposition method to improve large language models' spatial reasoning capabilities, a persistent weakness limiting their real-world applications. The approach combines task decomposition with a novel MCTS-Guided Group Relative Policy Optimization algorithm to enhance LLM performance on navigation, planning, and strategic games.