4 papers · 1 filter
MIC: Explaining Image-Claim Inconsistencies in AI-Generated Multimodal Misinformation
Ruihong Zeng, Jonathan Tonglet, Preslav Nakov +1
Claims paired with AI-generated images are a rapidly growing form of misinformation. Existing automated fact-checking (AFC) methods mainly treat this as a provenance problem, detec…
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
NewsRECON: News Article Retrieval for Image Contextualization
Jonathan Tonglet, Iryna Gurevych, Tinne Tuytelaars +1
Identifying when and where a news image was taken is crucial for journalists and forensic experts to produce credible stories and debunk misinformation. While many existing methods…
ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation
Jesus-German Ortiz-Barajas, Jonathan Tonglet, Vivek Gupta +1
Multimodal large language models (MLLMs) are increasingly used to automate chart generation from data tables, improving efficiency but introducing new misuse risks. We present Char…