2 papers
cs.CL2025
Exploring Imbalanced Annotations for Effective In-Context Learning
Hongfu Gao, Feipeng Zhang, Hao Zeng +3
Large language models (LLMs) have shown impressive performance on downstream tasks through in-context learning (ICL), which heavily relies on the demonstrations selected from annot…
cs.CV2025
Spatial-Mamba: Effective Visual State Space Models via Structure-aware State Fusion
Chaodong Xiao, Minghan Li, Zhengqiang Zhang +2
Selective state space models (SSMs), such as Mamba, highly excel at capturing long-range dependencies in 1D sequential data, while their applications to 2D vision tasks still face…