Deception by Omission: Language Models Knowingly Hide Their Mistakes
Large language models (LLMs) increasingly act as agents with little human oversight, so potential mistakes they make can go unnoticed. Users then depend on the model to report what went wrong. An honest model discloses its mistakes, while a deceptive one conceals them. However, it is unclear how current LLMs behave in...
L. Florin, Amelie Knecht, Ulysse Schaller et al.
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