3 papers
cs.CV2024
GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models
Mukai Li, Lei Li, Shansan Gong +1
Visual Language Models (VLMs) demonstrate impressive capabilities in processing multimodal inputs, yet applications such as visual agents, which require handling multiple images an…
cs.LG2024
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining
Yazheng Yang, Yuqi Wang, Yaxuan Li +4
In the domain of data science, the predictive tasks of classification, regression, and imputation of missing values are commonly encountered challenges associated with tabular data…
cs.CV2024
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image
Xijia Tao, Shuai Zhong, Lei Li +2
There has been an increasing interest in the alignment of large language models (LLMs) with human values. However, the safety issues of their integration with a vision module, or v…