18 citations · 24 across the 18 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CV2023
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update
Zhi Gao, Yuntao Du, Xintong Zhang +4
Utilizing large language models (LLMs) to compose off-the-shelf visual tools represents a promising avenue of research for developing robust visual assistants capable of addressing…
cs.CL2023★ 18 cited
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
Haozhe Zhao, Zefan Cai, Shuzheng Si +7
Since the resurgence of deep learning, vision-language models (VLMs) enhanced by large language models (LLMs) have grown exponentially in popularity. However, while LLMs can utiliz…