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Confident user prompts make LLMs more likely to hallucinate

Even small changes to the prompt can have a major impact on the quality of facts: A new benchmark shows how susceptible language models are to brevity statements and exaggerated user inflection.


Many language models are more likely to generate incorrect information when users request concise answers, according to a new benchmark study.


The article Confident user prompts make LLMs more likely to hallucin [...]

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