29 citations · 75 across the 39 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 6 cited
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model
Chaoya Jiang, Haiyang Xu, Mengfan Dong +7
Multi-modal large language models (MLLMs) have been shown to efficiently integrate natural language with visual information to handle multi-modal tasks. However, MLLMs still face a…
cs.CL2023★ 29 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.MM2023★ 1 cited
mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model
Anwen Hu, Yaya Shi, Haiyang Xu +7
Recently, the strong text creation ability of Large Language Models(LLMs) has given rise to many tools for assisting paper reading or even writing. However, the weak diagram analys…