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, detecting low-level synthesis artifacts to decide whether an image is AI-generated. However, such methods do not verify what human fact-checkers...
Rui-Hong Zeng, Jonathan Tonglet, Preslav Nakov et al.· 0 citations
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, standard benchmarks for machine translation are approaching saturation. Further, automatic translation metrics are unreliable, opaque, and vulne...
Vilém Zouhar, Niyati Bafna, Mukund Choudhary et al.· 0 citations
This work evaluates the performance of a news article retrieval pipeline, NewsRECON, which leverages a corpus of over 85,000 articles and investigates the potential of news article corpora as an alternative to RIS, linking images to relevant articles to infer their dates and locations from article metadata.
Jonathan Tonglet, Iryna Gurevych, T. Tuytelaars et al.· arXiv.org· 1 citation
