MAD-Fact: A Multi-Agent Debate Framework for Long-Form Factuality Evaluation in LLMs

Yucheng Ning, Xixun Lin, Fang Fang +1

The widespread adoption of Large Language Models (LLMs) raises critical concerns about the factual accuracy of their outputs, especially in high-risk domains such as biomedicine, l…