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Positional bias in LLMs can drastically alter predictions, with accuracy and stability often at odds, challenging our understanding of model reliability in ordinal classification tasks.
JailbreakOPT boosts attack success rates against LLMs while slashing the number of attempts needed to breach safety measures.
