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LLMs believe false statements even after explicit warnings that they're false
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5 min

LLMs believe false statements even after explicit warnings that they're false

TL;DR

New research shows that artificial intelligence models often believe false information even when they are told the information is wrong. A study on "negation neglect" found that Large Language Models (LLMs) learn more from the patterns of words than from warnings or labels. Even when a statement is

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