2 papers
cs.CL2025
Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis
Li Li, Yongliang Wu, Jingze Zhu +3
The evolution of large models has witnessed the emergence of In-Context Learning (ICL) capabilities. In Natural Language Processing (NLP), numerous studies have demonstrated the ef…
cs.CV2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
Huiyi Chen, Jiawei Peng, Kaihua Tang +2
In-context learning (ICL) enables Large Vision-Language Models (LVLMs) to adapt to new tasks without parameter updates, using a few demonstrations from a large support set. However…