most citedReducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

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★ 2 cited

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…