Reducing Hallucinations in LLM-based Scientific Literature Analysis Using Peer Context Outlier Detection

Reducing hallucinations in Large Language Models (LLMs) is essential for accurate data extraction from large text corpora. Current methods, like prompt engineering and chain-of-thought prompting, focus on individual documents and fail to consider relationships across a corpus. This paper introduces