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Coordinated attacks on discourse-level opinion can shift perceptions across multi-topic queries, exposing critical vulnerabilities in RAG systems.
LLMs are more fragile than we thought: a new algorithm efficiently maps the boundaries of their trustworthiness, revealing specific topics where they're prone to bias.
