Core Concepts
FIRE is a novel agent-based framework that improves the efficiency of fact-checking by integrating evidence retrieval and claim verification into an iterative process, reducing reliance on costly language model (LLM) computations and web searches without compromising accuracy.
Xie, Z., Xing, R., Wang, Y., Geng, J., Iqbal, H., Sahnan, D., Gurevych, I., & Nakov, P. (2024). FIRE: Fact-checking with Iterative Retrieval and Verification. arXiv preprint arXiv:2411.00784.
This paper introduces FIRE, a novel framework designed to enhance the efficiency of fact-checking systems by integrating evidence retrieval and claim verification into a single, iterative process. The authors aim to address the limitations of traditional fact-checking methods that rely on retrieving a fixed number of evidence pieces before verification, leading to inefficient use of resources, particularly costly LLM computations.