WOLF: Unmasking LLM Deception with Werewolf-Inspired Analysis

This research explores a novel approach to detecting deception in Large Language Models (LLMs) by drawing parallels to the social dynamics of the Werewolf game. The study's focus on identifying falsehoods is crucial for ensuring the reliability and trustworthiness of LLMs.

• •Applies game theory concepts to LLM behavior analysis.
• •Aims to identify and mitigate the spread of misinformation.
• •Potentially improves LLM trustworthiness and reliability.