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Detecting Lies in Large Language Models by merrst14 is a document available to read on EtoBox.
What is Detecting Lies in Large Language Models about?
This document presents a novel approach to detecting lies generated by large language models (LLMs) using a black-box lie detector that analyzes responses to unrelated follow-up questions. The detector, trained on examples from GPT-3.5, demonstrates high accuracy and generalizes effectively across different LLM architectures and contexts. The research highlights the potential risks of lying LLMs and emphasizes the importance of automated lie detection in mitigating these risks.
- Author
- merrst14
- Language
- EN