Auto-Prompt Generation is Not Robust: Prompt Optimization Driven by Pseudo Gradient

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Automatic chain of thought prompting in large language models

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Large language models are human-level prompt engineers

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An llm can fool itself: A prompt-based adversarial attack

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Llm lies: Hallucinations are not bugs, but features as adversarial examples

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The impact of reasoning step length on large language models