Curated Context is Crucial for LLMs to Perform Reliable Political Fact-Checking

This research highlights a significant limitation of large language models in a critical application. The study underscores the necessity of high-quality, curated data for LLMs to function reliably in fact-checking, even with advanced capabilities.

• •LLMs struggle with reliable political fact-checking without curated context.
• •Reasoning and web search capabilities are insufficient without high-quality data.
• •This research suggests that focus should shift to improving the quality of data provided to LLMs.