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cs.CL2024
LIVE: Learnable In-Context Vector for Visual Question Answering
Yingzhe Peng, Chenduo Hao, Xu Yang +3
As language models continue to scale, Large Language Models (LLMs) have exhibited emerging capabilities in In-Context Learning (ICL), enabling them to solve language tasks by prefi…
cs.CV2024★ 1 cited
Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models
Yuhang Huang, Zihan Wu, Chongyang Gao +2
Large Vision-Language Models (LVLMs) are gaining traction for their remarkable ability to process and integrate visual and textual data. Despite their popularity, the capacity of L…