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cs.CL2026
MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine
Kai Zhang, Zhengqing Yuan, Cheng Peng +10
Biomedical multimodal assistants have the potential to unify radiology, pathology, and clinical-text reasoning, yet a critical deployment gap remains: top-performing systems are ei…
cs.CL2025
EditGRPO: Reinforcement Learning with Post-Rollout Edits for Clinically Accurate Chest X-Ray Report Generation
Kai Zhang, Christopher Malon, Lichao Sun +1
Radiology report generation requires advanced medical image analysis, effective temporal reasoning, and accurate text generation. Although recent innovations, particularly multimod…
cs.CL2025
Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation
Yun-Wei Chu, Kai Zhang, Christopher Malon +1
Multimodal Large Language Models (MLLMs) have shown impressive performance in vision and text tasks. However, hallucination remains a major challenge, especially in fields like hea…