Visual Prompting in Multimodal Large Language Models: A Survey
Junda Wu(University of California San Diego), Julian McAuley(University of California San Diego), Lina Yao(Zhengzhou University), Jingbo Shang(University of Illinois Urbana-Champaign), Dimitris Metaxas(Rutgers Sexual and Reproductive Health and Rights), S. Mitra(University of California, Santa Barbara), Aaron N. Chang(Baylor University Medical Center), Zhehao Zhang, Yu Xia(Wenzhou Medical University), Sungchul Kim(Adobe Systems (United States)), Tong Yu(Adobe Systems (United States)), Ruiyi Zhang, Ryan A. Rossi(Adobe Systems (United States)), Xintong Li, Zhaoyang Xia(Rutgers, The State University of New Jersey)
Cited by 4
Related Papers
The Network Data Repository with Interactive Graph Analytics and Visualization
|Proceedings of the AAAI Conference on Artificial Intelligence|2015|2.5k
Antagonism of miR-33 in mice promotes reverse cholesterol transport and regression of atherosclerosis
|Journal of Clinical Investigation|2011|686
Bias and Fairness in Large Language Models: A Survey
|Computational Linguistics|2024|583
Continuous-Time Dynamic Network Embeddings
|Unknown|2018|549
Combinatorial CRISPR–Cas9 screens for de novo mapping of genetic interactions
|Nature Methods|2017|372