The proliferation of fake news has significant implications on society. Traditional methods rely on outdated data, while Large Language Models (LLMs) offer a new approach. A novel framework, STEEL, combines LLMs and strategic internet-based evidence retrieval. The model ensures comprehensive evidence acquisition through multi-round retrieval strategies. Experiments across real-world datasets validate the framework's superiority over existing methods. The model not only provides accurate verdicts but also offers human-readable explanations for result interpretability.
Til et andet sprog
fra kildeindhold
arxiv.org
Vigtigste indsigter udtrukket fra
by Guanghua Li,... kl. arxiv.org 03-18-2024
https://arxiv.org/pdf/2403.09747.pdfDybere Forespørgsler