Can you trick LLMs into giving dangerous info by phrasing questions in past tense?

Ensuring that LLMs behave safely and ethically is a top priority for most of the large AI firms out there. These models are trained to refuse harmful, illegal, or undesirable requests. However, recent research by Maksym Andriushchenko and Nicolas Flammarion from EPFL highlights a surprising vulnerability: simply rephrasing harmful requests in the past tense can often bypass these refusal mechanisms.

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