Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection: Appendix
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Hateful Meme Detection: Leveraging PVLMs for Zero-shot VQA Probing
This study explores using pre-trained vision-language models (PVLMs) for hateful meme detection without fine-tuning, showcasing BERT's...
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection
Pro-Cap introduces a novel approach to hateful meme detection by utilizing frozen Vision-Language Models (PVLMs) through...
Performance Analysis of Diverse Hateful Meme Detection Datasets
We thoroughly evaluate and analyze the probing-based Pro-Cap method for hateful meme detection. Discover its performance...
Comparing Hateful Meme Detection Models: BERT-based vs. PromptHate with Pro-Cap
Our method uses a probing-based approach to gather critical image details essential for detecting hateful content...
Zero-Shot Visual Question Answering with PVLMs
This section defines the task of zero-shot visual question answering (VQA) and explores the use of...
Navigating the Complexity of Hateful Meme Detection
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A Comparative Algorithm Audit of Conspiracies on the Net: Conclusion and Bibliography
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A Comparative Algorithm Audit of Conspiracies on the Net: Methodology
A comparative algorithm audit of the distribution of conspiratorial information in search results across five search...
A Comparative Algorithm Audit of Conspiracies on the Net: Limitations
A comparative algorithm audit of the distribution of conspiratorial information in search results across five search...
A Comparative Algorithm Audit of Conspiracies on the Net: Abstract and Introduction
A comparative algorithm audit of the distribution of conspiratorial information in search results across five search...
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Base Chain Welcomes Inaugural Meme Coin Launchpad: A Beacon Against Scams And Rug Pulls
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