Researchers propose MemeLens, a unified multilingual, multitask explanation-enhanced Vision-Language Model for meme understanding. They consolidate 38 public meme datasets, present a shared taxonomy of 20 tasks, and provide a comprehensive empirical analysis. This development may be relevant to people building and operating AI agents, particularly those involved in multimodal models and natural language processing.