1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Yingzi Ma, Jiongxiao Wang, Fei Wang +10
Machine unlearning has emerged as an effective strategy for forgetting specific information in the training data. However, with the increasing integration of visual data, privacy c…
cs.CV2024
From Text to Pixel: Advancing Long-Context Understanding in MLLMs
Yujie Lu, Xiujun Li, Tsu-Jui Fu +2
The rapid progress in Multimodal Large Language Models (MLLMs) has significantly advanced their ability to process and understand complex visual and textual information. However, t…
cs.CV2023
Text as Images: Can Multimodal Large Language Models Follow Printed Instructions in Pixels?
Xiujun Li, Yujie Lu, Zhe Gan +3
Recent multimodal large language models (MLLMs) have shown promising instruction following capabilities on vision-language tasks. In this work, we introduce VISUAL MODALITY INSTRUC…