News Caption

News captioning research focuses on automatically generating descriptive captions for news images, leveraging both the accompanying article text and visual information. Current efforts concentrate on improving the understanding of abstractive captions, utilizing large language models (LLMs) to identify key entities and contextual information, and incorporating commonsense knowledge and semantic rules to enhance caption accuracy and adherence to journalistic standards. These advancements aim to bridge the gap between descriptive and real-world news captions, leading to more accurate and informative image descriptions in news applications and potentially impacting other text-to-image synthesis tasks.