DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection

arXiv:2402.10426v1 Announce Type: new
Abstract: Large language models are limited by challenges in factuality and hallucinations to be directly employed off-the-shelf for judging the veracity of news articles, where factual accuracy is paramount. In this work, we propose DELL that identifies three key stages in misinformation detection where LLMs could be incorporated as part of the pipeline: 1) LLMs could \emph{generate news reactions} to represent diverse perspectives and simulate user-news interaction networks; 2) LLMs could \emph{generate explanations} for proxy tasks …

abstract accuracy articles arxiv challenges cs.cl dell detection hallucinations key language language models large language large language models llm llms misinformation type work