Fact Checking Model

Automated fact-checking models aim to verify the accuracy of claims, particularly in the context of combating misinformation. Current research focuses on improving these models' ability to handle nuanced claims, such as those embedded in dialogues or those misrepresenting scientific publications, often leveraging transformer-based architectures and techniques like entity-based claim representation and temporal reasoning to enhance accuracy and robustness. These advancements are crucial for addressing the spread of misinformation across various domains, including healthcare and finance, and for building more reliable and trustworthy information systems.