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Tying intermediate reasoning directly to visual evidence allows VLMs to outperform larger models in spatial reasoning tasks.
OpenVLThinkerV2 leapfrogs existing open-source and proprietary multimodal models by using a novel Gaussian-based RL objective that ensures gradient equity across diverse visual tasks.
