Fact Verification
Fact verification, the automated process of assessing the truthfulness of claims, aims to combat the rapid spread of misinformation. Current research focuses on improving accuracy and explainability using various approaches, including large language models (LLMs) coupled with techniques like retrieval augmented generation (RAG), natural logic reasoning, and knowledge graph integration. These advancements are crucial for enhancing the reliability of online information and supporting fact-checking efforts across diverse domains and languages, impacting both scientific understanding and public discourse.
Papers
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The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs
Paul Youssef, Jörg Schlötterer, Christin Seifert
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification
Amelie Wührl, Yarik Menchaca Resendiz, Lara Grimminger, Roman Klinger
November 29, 2023
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