WOLF: Werewolf-based Observations for LLM Deception and Falsehoods

Abstract

We introduce WOLF (Weighted Online Learning Framework), a novel framework for evaluating large language model robustness in multi-turn conversational settings under adversarial pressure. WOLF systematically tests model responses when users attempt to manipulate, mislead, or extract harmful information through extended dialogue. Our framework provides quantitative metrics for measuring model stability and safety across conversation trajectories.

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