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Multi-3DLLM not only excels at multi-object reasoning but also boosts performance on single-object classification tasks, revealing a surprising synergy in geometric understanding.
LVLMs can get a 16.5%-29.5% boost on visual reasoning benchmarks just by iteratively checking their work against the image, no training needed.
