Negative Caption

Negative captions, encompassing the use of negation in text and data, are crucial for improving the accuracy and robustness of various machine learning models. Current research focuses on developing methods to effectively incorporate negative information during model training, including techniques like contrastive learning with adjective-based negative captions and entity-aware negative sampling for knowledge graph embeddings. These advancements are vital for enhancing the performance of applications such as question answering systems, video retrieval, and knowledge graph representation learning, ultimately leading to more nuanced and accurate AI systems.