VG-CoT is a new scalable dataset and three-axis benchmark that improves grounded chain-of-thought reasoning in LVLMs by explicitly tying each reasoning step to visual evidence.
InAdvances in Neural Information Processing Systems, volume 36, pages 28541–28564
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VG-CoT: Towards Trustworthy Visual Reasoning via Grounded Chain-of-Thought
VG-CoT is a new scalable dataset and three-axis benchmark that improves grounded chain-of-thought reasoning in LVLMs by explicitly tying each reasoning step to visual evidence.