IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
IEEE

In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning

Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...