19 citations · 49 across the 7 of their papers we have counts for
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cs.CV2024
Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding
Jinlong He, Pengfei Li, Gang Liu +1
Multimodal Large Language Models (MLLMs) inherit the superior text understanding capabilities of LLMs and extend these capabilities to multimodal scenarios. These models achieve ex…
cs.CV2024
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation
Gang Liu, Hongyang Li, Zerui He +1
Leveraging pre-trained visual language models has become a widely adopted approach for improving performance in downstream visual question answering (VQA) applications. However, in…
cs.CL2024★ 11 cited
PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging
Jinlong He, Pengfei Li, Gang Liu +3
Multimodal large language models (MLLMs) represent an evolutionary expansion in the capabilities of traditional large language models, enabling them to tackle challenges that surpa…