2026
ContextNav: Towards Agentic Multimodal In-Context Learning
ICLR 2026poster
Recent advances demonstrate that multimodal large language models (MLLMs) exhibit strong multimodal in-context learning (ICL) capabilities, enabling them to adapt to novel vision-language tasks from a few contextual examples. However, existing ICL approaches face challenges in reconciling generaliza…