Tag
This paper presents a qualitative analysis of vision-language models for detecting hate speech in memes, evaluating their performance and reasoning under zero-shot and few-shot prompting.
Elon Musk tweeted about people being sent to prison for memes, likely referencing issues with online content or censorship.
This paper introduces AHA-Memes, the first large-scale Arabic hateful meme benchmark with fine-grained multi-label annotations, covering 5K manually annotated and ~66K silver-labeled memes, and benchmarks various multimodal models for culturally grounded hate detection.
This paper introduces BanglaMemeEvidence, a multimodal dataset of 2,917 Bengali memes annotated for explanatory evidence detection, and proposes BengaliMemeEvidenceNet, a hybrid framework achieving an F1 score of 0.74.
Google employees are internally sharing memes criticizing the quality of AI-generated code, contrasting with CEO Sundar Pichai's public statements that 75% of new code is AI-generated.