Surgery-R1 uses supervised fine-tuning and reinforcement fine-tuning to give a surgical visual question answering model chain-of-thought reasoning, improving accuracy and localization on two EndoVis benchmarks.
Cat-vil: co-attention gated vision- language embedding for visual question localized-answering in robotic surgery,
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Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning
Surgery-R1 uses supervised fine-tuning and reinforcement fine-tuning to give a surgical visual question answering model chain-of-thought reasoning, improving accuracy and localization on two EndoVis benchmarks.