| Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification | Jul 3, 2023 | ClassificationFact Checking | —Unverified | 0 |
| AutoHall: Automated Hallucination Dataset Generation for Large Language Models | Sep 30, 2023 | Dataset GenerationFact Checking | —Unverified | 0 |
| From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation | May 24, 2025 | ArticlesBenchmarking | —Unverified | 0 |
| Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing | Dec 13, 2021 | Explanation GenerationExtractive Summarization | —Unverified | 0 |
| CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text | Dec 1, 2022 | Fact CheckingLanguage Modeling | —Unverified | 0 |
| Fake News Detection: Experiments and Approaches beyond Linguistic Features | Sep 27, 2021 | Fact CheckingFake News Detection | —Unverified | 0 |
| Fake News Detection for Portuguese with Deep Learning | Jul 1, 2021 | Deep LearningFact Checking | —Unverified | 0 |
| Generating Literal and Implied Subquestions to Fact-check Complex Claims | May 14, 2022 | Fact Checking | —Unverified | 0 |
| Fake news detection using parallel BERT deep neural networks | Apr 10, 2022 | ArticlesFact Checking | —Unverified | 0 |
| FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference | Oct 27, 2021 | Fact CheckingMisinformation | —Unverified | 0 |
