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Spatial reasoning hallucinations in MLLMs can be drastically reduced by integrating geometric evidence, challenging the effectiveness of traditional mitigation methods.
Compiling documents into semantically typed knowledge atoms allows for targeted, efficient retrieval that boosts performance on long-document reasoning tasks.
