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Enhancing Visual Reasoning in Chest X-Ray Report Generation Using Reinforcement Learning
Medical report generation has made significant progress with the rise of modern vision-language models and the growing availability of large-scale medical datasets. However, hallucinations remain a major challenge, largely due to the limitations of supervised fine-tuning (SFT), which prioritizes lex
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