Publications

Conference papers

🏖️ COVE: COntext and VEracity prediction for out-of-context images
Jonathan Tonglet, Gabriel Thiem, Iryna Gurevych
NAACL main conference. 2025.
📄paper 💻code

📸 “Image, tell me your story!” Predicting the original meta-context of visual misinformation
Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych
EMNLP main conference. 2024.
📄paper 💻code

🔮 SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens
EMNLP main conference. 2023.
📄paper 💻code

Journal papers

⚖️ Evaluating text classification: A benchmark study
Manon Reusens, Alexander Stevens, Jonathan Tonglet, Johanness De Smedt,
Wouter Verbeke, Seppe vanden Broucke, Bart Baesens
Expert Systems with Applications. 2024.
📄paper 💻code

🐥 Predicting the demographics of Twitter users with Programmatic Weak Supervision
Jonathan Tonglet🎓, Astrid Jehoul🎓, Manon Reusens, Michael Reusens, Bart Baesens
Transactions in Operations Research. 2024.
📄paper 💻code

Preprints

4️⃣ M4FC: a a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset
Jiahui Geng🎓, Jonathan Tonglet🎓, Iryna Gurevych
arXiv preprint. 2025.
📄preprint 💻code 📝project

😯 Is this chart lying to me? Automating the detection of misleading visualizations
Jonathan Tonglet🎓, Jan Zimny🎓, Tinne Tuytelaars, Iryna Gurevych
arXiv preprint. 2025.
📄preprint 💻code 📝project

📈 Protecting multimodal large language models against misleading visualizations
Jonathan Tonglet, Tinne Tuytelaars, Marie-Francine Moens, Iryna Gurevych
arXiv preprint. 2025.
📄preprint 💻code 📝project

🗺️ Geolocation with Real Human Gameplay Data: A Large-Scale Dataset and Human-Like Reasoning Framework
Zirui Song, Jingpu Yang, Yuan Huang, Jonathan Tonglet, Zeyu Zhang,
Tao Cheng, Meng Fang, Iryna Gurevych, Xiuying Chen
arXiv preprint. 2025.
📄preprint 🤗data

Legend

🎓 Equal contribution