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SVoT: State-aware Visualization-of-Thought for Spatial Reasoning via Reinforcement Learning

cs.AI updates on arXiv.org·
✦AI Analysis

The SVoT framework enhances spatial reasoning in Multimodal Large Language Models by integrating verifiable intermediate states and visualizations through reinforcement learning. This approach significantly improves accuracy in multi-hop spatial reasoning tasks, achieving up to a 65% gain on out-of-distribution test sets.

Key Topics

SVoTMultimodal Large Language ModelsGroup Relative Policy OptimizationPacman

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

SVoT: State-aware Visualization-of-Thought for Spatial Reasoning via Reinforcement Learning | AI Crypto Daily Wire