DECOR: Auditing LLM Deception via Information Manipulation Theory

In three linesDECOR is a multi-agent framework for auditing deception in LLMs by decomposing contexts into atomic informational units and scoring four manipulation dimensions (omission, focus-shifting, meaning-obscuring). Tested on 15 frontier models, it achieves state-of-the-art deception detection on single and multi-turn benchmarks with interpretable manipulation profiles.

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