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Found 1 papers, 1 papers with code
PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging
In this paper, we propose a parameter efficient framework for fine-tuning MLLMs, specifically validated on medical visual question answering (Med-VQA) and medical report generation (MRG) tasks, using public benchmark datasets.
Ranked #1 on
Medical Visual Question Answering
on VQA-RAD
(using extra training data)
Medical Report Generation
Medical Visual Question Answering
+4
