Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …

AbstractScale the model, scale the data, scale the compute'is the reigning sentiment in the
world of generative AI today. While the impact of model scaling has been extensively …

Text-embedded images are frequently used on social media to convey opinions and
emotions, but they can also be a medium for disseminating hate speech, propaganda, and …

In the evolving landscape of online communication, moderating hate speech (HS) presents
an intricate challenge, compounded by the multimodal nature of digital content. This …

Recent research has offered insights into the extraordinary capabilities of Large Multimodal
Models (LMMs) in various general vision and language tasks. There is growing interest in …

This paper presents an impartial and extensive benchmark for text classification involving
five different text classification tasks, 20 datasets, 11 different model architectures, and …

Scale the model, scale the data, scale the GPU-farms' is the reigning sentiment in the world
of generative AI today. While model scaling has been extensively studied, data scaling and …

The accessibility of online hate speech has increased significantly, making it crucial for
social-media companies to prioritize efforts to curb its spread. Although deep learning …

People increasingly use social media platforms to express themselves by posting visuals
and texts. As a result, hate content is on the rise, necessitating practical visual caption …

The growth of social networks has provided a platform for individuals with prejudiced views,
allowing them to spread hate speech and target others based on their gender, ethnicity …