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Context-sensitive hallucinations in LLMs can be mitigated by a new optimization technique that rewards step-level consistency, leading to significant improvements in reasoning accuracy.
Current MLLMs struggle with fine-grained spatial reasoning, achieving only 37.2 F1 on challenging tasks compared to human performance of 84.0 F1.
