most citedMultimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies

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cs.CL2024

Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs

Asli Umay Ozturk, Recep Firat Cekinel, Pinar Karagoz

Satire detection is essential for accurately extracting opinions from textual data and combating misinformation online. However, the lack of diverse corpora for satire leads to the…

cs.CL2024★ 1 cited

Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies

Recep Firat Cekinel, Pinar Karagoz, Cagri Coltekin

This study evaluates the effectiveness of Vision Language Models (VLMs) in representing and utilizing multimodal content for fact-checking. To be more specific, we investigate whet…