Meme Generation

Meme generation research focuses on automatically creating memes, combining images and text to convey humor, opinions, or information. Current efforts concentrate on improving the accuracy and contextual understanding of meme caption generation, particularly for multi-image memes, and developing methods to detect and mitigate the creation of harmful or hateful content. This research leverages large language and vision models, often employing contrastive learning and reinforcement learning techniques, to enhance both the quality and safety of automatically generated memes. The field's advancements have implications for understanding online communication, detecting harmful content, and potentially creating new tools for social media analysis and content creation.