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Models trained with VBVR-Pro not only excel in a controlled task space but also show significant transferability to external benchmarks, revealing critical insights into visual reasoning mechanisms.
Significant gains in video reasoning performance reveal that diverse temporal supervision and structured reasoning states are crucial for advancing model capabilities.
