most citedmPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

29 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing

Qi Qian, Haiyang Xu, Ming Yan +1

Diffusion models demonstrate impressive image generation performance with text guidance. Inspired by the learning process of diffusion, existing images can be edited according to t…

cs.CV2024

Text-Guided Mixup Towards Long-Tailed Image Categorization

Richard Franklin, Jiawei Yao, Deyang Zhong +2

In many real-world applications, the frequency distribution of class labels for training data can exhibit a long-tailed distribution, which challenges traditional approaches of tra…

cs.CV20246 cited

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Jiabo Ye, Haiyang Xu, Haowei Liu +6

Multi-modal Large Language Models (MLLMs) have demonstrated remarkable capabilities in executing instructions for a variety of single-image tasks. Despite this progress, significan…

cs.CL202329 cited

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

Qinghao Ye, Haiyang Xu, Jiabo Ye +7

Multi-modal Large Language Models (MLLMs) have demonstrated impressive instruction abilities across various open-ended tasks. However, previous methods primarily focus on enhancing…

cs.CV20235 cited

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model

Jiabo Ye, Anwen Hu, Haiyang Xu +11

Text is ubiquitous in our visual world, conveying crucial information, such as in documents, websites, and everyday photographs. In this work, we propose UReader, a first explorati…