Feb. 8, 2024, 5:46 a.m. | Dorian Quelle Alexandre Bovet

cs.CL updates on arXiv.org arxiv.org

Automated fact-checking, using machine learning to verify claims, has grown vital as misinformation spreads beyond human fact-checking capacity. Large Language Models (LLMs) like GPT-4 are increasingly trusted to write academic papers, lawsuits, and news articles and to verify information, emphasizing their role in discerning truth from falsehood and the importance of being able to verify their outputs. Understanding the capacities and limitations of LLMs in fact-checking tasks is therefore essential for ensuring the health of our information ecosystem. Here, we …

academic articles automated beyond capacity cs.cl cs.cy cs.hc fact-checking gpt gpt-4 human importance information language language models large language large language models lawsuits llms machine machine learning misinformation papers role truth verify vital

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