most citedPeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

11 citations · 14 across the 3 of their papers we have counts for

collaborators

3 papers

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.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…

cs.CV2023★ 3 cited

Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

Pengfei Li, Gang Liu, Jinlong He +2

Medical visual question answering (VQA) is a challenging task that requires answering clinical questions of a given medical image, by taking consider of both visual and language in…