6 citations · 25 across the 24 of their papers we have counts for
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cs.CV2023★ 4 cited
LLaFS: When Large Language Models Meet Few-Shot Segmentation
Lanyun Zhu, Tianrun Chen, Deyi Ji +2
This paper proposes LLaFS, the first attempt to leverage large language models (LLMs) in few-shot segmentation. In contrast to the conventional few-shot segmentation methods that o…
cs.CL2023
Concise and Organized Perception Facilitates Reasoning in Large Language Models
Junjie Liu, Shaotian Yan, Chen Shen +4
Exploiting large language models (LLMs) to tackle reasoning has garnered growing attention. It still remains highly challenging to achieve satisfactory results in complex logical p…