Papers by ZhiBo Yang

1 papers
Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering (2026.acl-long)

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Challenge: Recent advances have improved the accuracy of medical visual question answering (Med-VQA) however, the high stakes nature of the medical domain has precipitated a shift towards interpretability and transparency of reasoning processes.
Approach: They propose a reinforcement learning from verifiable rewards framework that rewards internal consistency and logical coherence.
Outcome: The proposed framework rewards internal consistency and logical coherence, and is highly versatile, the authors show.

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